- BBClist - maillist.psb.ugent.be

[Gtpb] GTPB Advanced Biostatistics course
by Pedro Fernandes IGC 20 Mar '17

20 Mar '17

Announcement / Reminder We are pleased to inform that applications for the ABSTAT17 training course are open. http://gtpb.igc.gulbenkian.pt/bicourses/ABSTAT17 Please note that this time, due to unusual circumstances, the registration process must be completed very quickly. Our apologies for that. Best wishes Pedro Fernandes Bioinformatics Training Coordinator Instituto Gulbenkian de Ciência _______________________________________________ GTPB mailing list GTPB(a)igc.gulbenkian.pt https://lists.igc.gulbenkian.pt/mailman/listinfo/gtpb

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PhD position: Amsterdam and Delft, The Netherlands
by Lodewyk Wessels 18 Mar '17

18 Mar '17

PhD position: ‘TRANSFER LEARNING FOR PERSONALISED CANCER TREATMENT’ COLLABORATING INSTITUTES Technical University of Delft (TUDelft), Delft VU University Medical Center, VUMC, Amsterdam and The Netherlands Cancer Institute (NKI), Amsterdam. PROJECT DESCRIPTION How can we find better diagnostic markers for early stages of cancer? How can we better predict which therapy is best for which patient? The aim of the ‘COMPUTE CANCER’ project is to develop a novel methodological and computational framework that improves the selection of diagnostic and predictive biomarkers from cancer genomics data. Our strategy is to adapt known prediction methods (e.g. penalized regression, random forests) to allow for the inclusion of ‘co-data’: auxiliary information on the genomic variables derived from other data sources. Examples include p-values from related external studies or genomic and drug response data from cancer cell lines. INTERDISCIPLINARY COLLABORATION The group of Mark van de Wiel (Biostatistics, VUMC) will focus on developing ‘weighted learners’, where the challenge is to determine weights from co-data in an automatic and objective way. The groups of Marco Loog, Marcel Reinders and Lodewyk Wessels (TUDelft and NKI) will develop transfer learning approaches that exploit large cell line response data sets to predict therapy response in tumors. We will focus on response to chemotherapy in neo-adjuvant breast cancer and metastatic colorectal cancer. The project is embedded within broad oncological collaborations within the VUMC as well as the NKI. The successful candidate will be employed at the TUDelft and will spend at least two days per week at the NKI. Regular meetings between project partners and oncologists will be held to generate sufficient cohesion and momentum. CANDIDATE PROFILE We are seeking a highly motivated PhD candidate with: • A degree in bioinformatics, computer science or a related discipline • Experience in statistics, machine learning and/or pattern recognition • Proficiency in bioinformatics programming languages (e.g. R, Python) • Good cross-disciplinary collaborative and communication skills • Experience in analysing high-throughput molecular data is a plus • Experience in cancer biology and clinical applications is a plus INTERESTED? Please send CV and motivation letter to Magali Michaut (m.michaut(a)nki.nl) & Lodewyk Wessels (l.wessels(a)nki.nl) Please include the names and contact information of at least two references. DEADLINE 17 April 2017

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[bioinfo] CFP MLSB17 11th Machine Learning in Systems Biology Workshop
by Alexander Botzki 17 Mar '17

17 Mar '17

From: Chloe-Agathe Azencott [mailto:chloe-agathe.azencott@mines-paristech.fr] Sent: 17 March 2017 11:12 To: bioinfo(a)sfbi.fr Subject: [bioinfo] CFP MLSB17 11th Machine Learning in Systems Biology Workshop ********************************************************************** CALL FOR ABSTRACTS -- MLSB 2017 The 11th International Workshop on Machine Learning in Systems Biology http://www.mlsb.cc Organized as a Special Session at ISMB/ECCB 2017 July 25, 2017 Prague, Czech Republic *Abstract submission deadline: May 18, 2017* ********************************************************************** Biology is rapidly turning into an information science, thanks to enormous advances in the ability to observe the molecular properties of cells, organs and individuals. This wealth of data allows us to model molecular systems at an unprecedented level of detail and to start to understand the underlying biological mechanisms. This field of systems biology creates a huge need for methods from machine learning, which find statistical dependencies and patterns in these large-scale datasets and that use them to establish models of complex molecular systems. MLSB is a scientific forum for the exchange between researchers from Systems Biology and Machine Learning, to promote the exchange of ideas, interactions and collaborations between these communities. The aim of MLSB is to contribute to the cross-fertilization between the research in machine learning methods and their applications to systems biology (i.e., complex biological and medical questions) by bringing together method developers and experimentalists. KEY DATES Submission deadline: May 18, 2017 Author notification: June 8, 2017 Early bird registration deadline ISMB/ECCB 2017: June 15, 2017 MLSB 2017: July 25, 2017 SUBMISSIONS We encourage submissions presenting novel methods for discovering complex structures (e.g. interaction networks, molecular structures), statistical machine learning methods for analysis of various high-throughput -omics data, and methods supporting systems-level data analysis. We are calling for 1-4 page abstracts describing either: - Original work on machine learning in systems biology. These should describe method development and application, and we encourage authors to submit recent ideas for discussion. - Highlights describing computational aspects of work that has recently been published or accepted for publication in a peer-reviewed journal or at the main conference. Abstracts will be considered for a talk or a poster presentation. The abstract must be in PDF format (file extension .pdf) and can be up to 4 pages long, including all figures and references. If you only wish to be considered for a poster, then a one page abstract is sufficient. A non-exhaustive list of topics suitable for this workshop are: - Active learning/experimental design - Bayesian methods - Biomarker identification - Clustering/biclustering - Data integration/fusion/multi-view learning - Deep learning - Epigenetics - Feature/subspace selection - Genome-wide association studies - Graph inference/completion - Kernel methods - Machine learning algorithms - Metabolic modeling and reconstruction - Metabolomics - Multitask/structured output prediction - Precision medicine - Probabilistic inference - Protein function and structure prediction - Protein-protein interaction networks - Rational drug design - Regulatory genomics - Semi-supervised learning - Sequence annotation - Signaling networks - Synthetic biology - Systems identification - Time-series analysis - Transcriptomics CHAIRS Chloé-Agathe Azencott (MINES ParisTech, France) Magnus Rattray (University of Manchester, UK) -- Chloe-Agathe Azencott CBIO Mines ParisTech - Institut Curie - INSERM U900 http://cazencott.info

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CFP MLSB17 11th Machine Learning in Systems Biology Workshop
by Ridder, Dick de 17 Mar '17

17 Mar '17

********************************************************************** CALL FOR ABSTRACTS -- MLSB 2017 The 11th International Workshop on Machine Learning in Systems Biology http://www.mlsb.cc Organized as a Special Session at ISMB/ECCB 2017 July 25, 2017 Prague, Czech Republic *Abstract submission deadline: May 18, 2017* ********************************************************************** Biology is rapidly turning into an information science, thanks to enormous advances in the ability to observe the molecular properties of cells, organs and individuals. This wealth of data allows us to model molecular systems at an unprecedented level of detail and to start to understand the underlying biological mechanisms. This field of systems biology creates a huge need for methods from machine learning, which find statistical dependencies and patterns in these large-scale datasets and that use them to establish models of complex molecular systems. MLSB is a scientific forum for the exchange between researchers from Systems Biology and Machine Learning, to promote the exchange of ideas, interactions and collaborations between these communities. The aim of MLSB is to contribute to the cross-fertilization between the research in machine learning methods and their applications to systems biology (i.e., complex biological and medical questions) by bringing together method developers and experimentalists. KEY DATES Submission deadline: May 18, 2017 Author notification: June 8, 2017 Early bird registration deadline ISMB/ECCB 2017: June 15, 2017 MLSB 2017: July 25, 2017 SUBMISSIONS We encourage submissions presenting novel methods for discovering complex structures (e.g. interaction networks, molecular structures), statistical machine learning methods for analysis of various high-throughput -omics data, and methods supporting systems-level data analysis. We are calling for 1-4 page abstracts describing either: - Original work on machine learning in systems biology. These should describe method development and application, and we encourage authors to submit recent ideas for discussion. - Highlights describing computational aspects of work that has recently been published or accepted for publication in a peer-reviewed journal or at the main conference. Abstracts will be considered for a talk or a poster presentation. The abstract must be in PDF format (file extension .pdf) and can be up to 4 pages long, including all figures and references. If you only wish to be considered for a poster, then a one page abstract is sufficient. A non-exhaustive list of topics suitable for this workshop are: - Active learning/experimental design - Bayesian methods - Biomarker identification - Clustering/biclustering - Data integration/fusion/multi-view learning - Deep learning - Epigenetics - Feature/subspace selection - Genome-wide association studies - Graph inference/completion - Kernel methods - Machine learning algorithms - Metabolic modeling and reconstruction - Metabolomics - Multitask/structured output prediction - Precision medicine - Probabilistic inference - Protein function and structure prediction - Protein-protein interaction networks - Rational drug design - Regulatory genomics - Semi-supervised learning - Sequence annotation - Signaling networks - Synthetic biology - Systems identification - Time-series analysis - Transcriptomics CHAIRS Chloé-Agathe Azencott (MINES ParisTech, France) Magnus Rattray (University of Manchester, UK)

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BioSB 2017 - Conference update - Detailed programme online!
by Femke Francissen 17 Mar '17

17 Mar '17

*BioSB 2017 conference update* *4-5 April 2017* Congrescentrum De Werelt, Lunteren, NL Conference website: http://www.aanmelder.nl/biosb2017 Register here <https://www.aanmelder.nl/biosb2017/wiki/218454/registration> BioSB 2017 is the 3rd edition of the Dutch Bioinformatics & Systems Biology conference. The conference discusses the latest developments in bioinformatics, systems and computational biology and interrelated disciplines, and their wide-ranging applications in life sciences & health, agriculture, food & nutrition. This year's conference will be co-organised by the BioSB research school <http://www.biosb.nl/>, UMC Groningen <https://www.umcg.nl/>, University of Groningen <http://www.rug.nl/> and ELIXIR-NL <http://www.dtls.nl/elixir-nl/elixir-nl-2/>. *** Detailed programme online* ------------------------------------------------------------ The programme of the conference is now online, including the topical sessions. View the full programme here <https://www.aanmelder.nl/biosb2017/part_program> You can still submit abstracts for a poster presentation. Submit here <https://www.aanmelder.nl/biosb2017/wiki/218444/abstract%20submission> *** Winner of the BioSB Young Investigator Award 2017: Ahmed Mahfouz* ------------------------------------------------------------ The selection committee selected a winner for this year's BioSB Young Investigator Award: Ahmed Mahfouz, LUMC. The award will be presented to Ahmed on *April 4* after which he will give an honorary lecture. The award is sponsored by the BioSB research school. Read more <https://www.aanmelder.nl/biosb2017/wiki/218447/biosb%20young%20investigator…> *** Industry meeting (BIUP): Entrepreneurship in Bioinformatics* ------------------------------------------------------------ On *April 5 *(13:15 - 14:30) the Bioinformatics Industrial Platform <https://www.dtls.nl/community/interest-groups/bioinformatics-industrial-use…> organises an inspiring industry session at the BioSB 2017 conference. This year's topic will be 'Entrepreneurship in Bioinformatics'. Three managers of successful bioinformatics companies are invited as speakers: - The Hyve - Harry van Haaften - Euretos - Arie Baak - Edgeleap - Marijana Radonjic These three companies started as bioinformatics start-ups and have grown into successful companies. We will learn about the do's and dont's of how to become a successful start-up in bioinformatics. Read more <https://www.aanmelder.nl/biosb2017/wiki/218404/industry%20/%20biup%20meeting> *** Repositive workshop: **Finding & Accessing Human Genome Data or Research* ------------------------------------------------------------ *April 4* (15:45 - 16:15) - Researchers rely on acquiring external data to validate, benchmark and supplement research findings. Funders require researchers to make their datasets accessible for further reuse. The goal of this workshop is to make researchers in genetics/genomics aware of the existing challenges with genomic data access and reuse and to present a number of tools and resources that researchers can use directly for simplifying their data access workflows. Repositive is a sponsor of the conference. Read more <https://www.aanmelder.nl/biosb2017/wiki/249981/repositive%20workshop> *** BioSB PhD retreat - April 3* ------------------------------------------------------------ - The Young Computational Biologistst <http://www.youngcb.nl/> are organising a PhD retreat on *April 3*, the day preceding the BioSB 2017 conference. The retreat will feature: - Keynote: Dr. Amrapali Zaveri, Stanford University - Keynote: Dr. Erik Schultes, FAIR Data Scientific Project Leader at DTL - Workshop organised by Amrapali Zaveri: 'How to use SPARQL Endpoints to query various biological data resources' - PhD flash talks - Dinner in Lunteren followed by social activity Abstracts for the flash talks should be submitted before March 20! Read more <https://www.aanmelder.nl/biosb2017/wiki/218435/biosb%20phd%20retreat> *** Contact & more information* ------------------------------------------------------------ You can find the latest conference updates at the conference website <http://www.aanmelder.nl/biosb2017>. Regular updates will also be sent via the BioSB mailing list. If you have any questions about the conference, please contact Femke Francissen, via femke.francissen(a)biosb.nl - On Twitter we will use the hashtag: #BioSB17 - Follow us on Twitter via @BioSB_nl - Like us on Facebook <https://www.facebook.com/BIOSB-122337454509903/?ref=hl>

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[bioinfo] NETTAB 2017
by Alexander Botzki 16 Mar '17

16 Mar '17

--------------------------------------------------------------------------------- NETTAB 2017 Methods, tools & platforms for Personalized Medicine in the Big Data Era 16-18 October 2017, Palermo, Italy http://www.igst.it/nettab/2017/ CALL FOR ABSTRACTS FOR ORAL COMMUNICATIONS AND POSTERS Keynote Speakers (confirmed only) - Winston Hide, Professor of Computational Biology, University of Sheffield, UK. - Anita Grigoriadis, Lecturer in Cancer Bioinformatics, King's College, London, UK. - Further Keynote speakers will be announced soon. TOPICS The special topic is "Methods, tools & platforms for Personalized Medicine in the Big Data Era", which includes: Data management: Biomedical Big Data Management, Standards for Clinical and Genetic Data, Data Privacy and Security, Omics Data Integration, Biobanks Data analysis: Omics Data analysis, Genetic Mutation Analysis, Biomarkers Discovery, NGS Data Analysis, Patient Information Analytics Tools and Services: Clinical Genomics Services, Models for Clinic and Genetic Data, Mobile tools and applications, Interoperability of Clinical and omic tools, Communication Technologies for Health-Care. Platforms: Integrated Data Warehouses, Integration of Applications and Data Services, Clinical Decision Support Systems, Healthcare Systems Traditional NETTAB topics also apply (see full list in the web site). DEADLINES Abstracts for oral communications: May 26, 2017 Abstracts for posters, software demo and late posters: TBA INSTRUCTIONS Submissions are sought for oral communications, posters and software demos. Abstracts must be submitted at http://www.easychair.org/conferences/?conf=nettab2017 See full instructions: http://www.igst.it/nettab/2017/submissions/instructions-for-authors/ CHAIRS Paolo Romano & Alfonso Urso & Alfonso Valencia CONTACTS Email: nettab.workshops(a)gmail.com Twitter: @NETTABWorkshops Announce list: https://groups.google.com/d/forum/nettab-announce LinkedIn: https://www.linkedin.com/groups/3209661 Paolo Romano IRCCS AOU San Martino IST Genova, Italy Skype: p.romano Email: paolo.romano(a)hsanmartino.it - paolo.dm.romano(a)gmail.com

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[Final Days for Registration] Lorentz Centre workshop Life Sciences with Industry 2017 in Leiden: April 3 – 7, 2017
by Ertaylan Gökhan (MACSBIO) 15 Mar '17

15 Mar '17

Dear All, This is a final reminder to register for the Lorentz Centre workshop Life Sciences with Industry 2017 before 19th of March 2017. There are only a few spots left. Best Regards, Gökhan Ertaylan, PhD Maastricht Centre for Systems Biology (MaCSBio) - Maastricht University http://macsbio.maastrichtuniversity.nl/ Universiteitssingel 60, 6229 ER Maastricht • +31 (0) 43 38 81123 [cid:AD5B6BCD-6229-45A4-9606-B735CFDC8172@wireless.unimaas.local] [cid:C5024CF8-88BC-4C23-8AB4-4EC19083DB86@wireless.unimaas.local] This message is confidential and may contain privileged information. It is intended for the named recipient only. If you receive it in error please notify me and permanently delete the original message and any copies. ************************************************************************************* We invite researchers (especially PhD students and postdocs) from all branches of the life sciences to participate in the one-week Lorentz Centre workshop Life Sciences with Industry 2017 in Leiden: April 3 – 7, 2017. During the workshop, the about 24 participants will tackle in groups of eight, three scientifically challenging and commercially important problems formulated by the following three companies. Bejo Zaden B.V. Genomic selection, genome-wide selection or genomic prediction in vegetables BaseClear B.V. DNA data storage: reading and writing data in DNA in fast and cost-effective way Heineken Getting the taste of alcohol in alcohol-free drinks For a full description of these challenges see: https://www.lorentzcenter.nl/lc/web/2017/862/info.php3?wsid=862&venue=Snell… The workshop will take place in Leiden in the building of the Lorentz Center, an organisation that is specialised in organising scientific workshops (http://www.lorentzcenter.nl/) To create multi-disciplinary teams, participants will be selected based on their (i) specific background, (ii) motivation to participate, and (iii) date of registration (first come first served). Register on the workshop website:https://www.lorentzcenter.nl/lc/web/2017/862/registration.php3?wsid=862&venue=Snellius Deadline: Sunday March 19, 2017. Participation is free of charge, including hotel accommodation, lunches and two dinners during the workshop. The workshop is sponsored by the Lorentz Center, the Research School BioSB (http://biosb.nl/) NWO - Domain Applied and Engineering Sciences (http://www.stw.nl/) and the three companies involved. Need for more information? Contact (Gerda Filippo<mailto:filippo@lorentzcenter.nl>) at the Lorentz Center (phone +31 71 527 5401). We hope to welcome you on April 3rd 2017. the organisers: • Dr. Gökhan Ertaylan, MaCSBio, Maastricht University • Dr. Karen van Eunen, University of Groningen • Dr. Ellen Feddes, NWO-Domain Applied and Engineering Sciences, Utrecht • Prof. Dr. Bas Teusink, Vrije Universiteit Amsterdam • Prof. Dr. em. Roel van Driel, Universiteit van Amsterdam *************************************************************************************

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DILS 2017
by Venkata Pardhasaradhi SATAGOPAM 13 Mar '17

13 Mar '17

Dear all, Apologies if you receive this more than once ####################################################################### CALL FOR PAPERS (DILS'17) 12th International Conference on Data Integration in Life Science 2017 November 14-15, 2017, Luxembourg city, Luxembourg Conference Website: http://www.elisa-project.lu/en/dils-2017/ (FULL PAPER SUBMISSION DEADLINE: 2017/Jun/01) ####################################################################### The DILS conference aims to promote research and innovation in data and knowledge integration, sharing and exchange in the domain of life sciences. The notion of life sciences is expansive including the domains of biology and bioinformatics, biomedical data, medical data, environment data, and clinical and health information. Researchers, informaticians, students and entrepreneurs from biology, medicine, computer science and engineering, and clinical informatics are invited to share their knowledge and experience. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ TOPICS AND AREAS RESEARCH PAPERS ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ • Life Science Data Modelling o "Big Data" infrastructure o Data integration systems o Data models and standards o Ontology and its evolution o Architectures and data management techniques • Analysing, Indexing, and Querying Life Sciences Datasets o Linked Open Data o Machine Learning o Query formulation, processing and optimization • Annotating, Matching, and Sharing Life Sciences Datasets o Data annotation and maintenance o Ontology and Schema Matching • Privacy and Provenance of Life Sciences Datasets o Ethical, legal and social issues o Data owner sensitive data sharing o Privacy-preserving data integration and management o Sharing, updating and propagating data Industry papers, demos and application/experiences are also welcome to DILS'17. They will be selected according to industry-compliant assessment criteria. In all cases please refer to the submission procedure: ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ PAPER SUBMISSION AND PUBLICATION ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Authors are invited to submit original contributions of technical rigor and practical relevance to DILS 2017. Three types of papers will be selected: Full research papers (up to 15 pages) Short research papers (8 pages) Industry/application/experience papers (8 pages). Papers are to be prepared using LNCS templates and submitted using the EasyChair site: https://easychair.org/conferences/?conf=dils2017 The proceedings of DILS will be published by Springer in the LNCS/LNAI/LNBI (Lecture Notes in Bioinformatics). ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ IMPORTANT DATES +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ June 1st , 2017: Paper submission deadline for research, industry, posters, demonstration, and application/experience papers August 25th , 2017: Notification of acceptance September 20th , 2017: Camera-ready copy due November 14-15, 2017: Conference days +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ORGANIZING COMMITTEE +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ General Chairs: • Marcos DA SILVEIRA • Cédric PRUSKI • Reinhard SCHNEIDER -- Venkata P. Satagopam Bioinformatics Core Luxembourg Centre For Systems Biomedicine (LCSB) University of Luxembourg Campus Belval, House of Biomedicine II 6, avenue du Swing L-4367 Belvaux T +352-466-644-6421 F +352-466-644-6949 venkata.satagopam(a)uni.lu<mailto:venkata.satagopam@uni.lu> http://lcsb.uni.lu ----- This message is confidential and may contain privileged information. It is intended for the named recipient only. If you receive it in error please notify me and permanently delete the original message and any copies. -----

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job opening
by Nicolaes G (BIOCH) 13 Mar '17

13 Mar '17

JOB OPENING Structural Bioinformatician (M/F) - PhD student position - 4 years 1. Description PhD student It is increasingly recognized that modulation of the immune system and inflammatory responses by immune checkpoint regulators, such as co-stimulatory molecules, control cellular functioning in health and disease. Our laboratory has a long history in the investigation of the role of co-stimulatory molecules in cardiovascular disease, including atherosclerosis and obesity. A recently obtained grant will further focus on the cell type specific regulation of immune checkpoint inhibitors, including CD40-CD40L interactions, and the signaling intermediates involved, in order to design and test novel therapeutics. TRAF signaling is an essential step in the co-stimulatory signaling process through the TNF-receptor in response to the presence of several known ligands. Functional CD40-TRAF signaling is known to have important contributions to development of a number of pathologies, including atherosclerosis and diabetes. You will use structural bioinformatics methods including virtual ligand screening to develop and optimize novel small-compound based therapeutic strategies. You will use rational methods to select potential ligands that target TRAF isoforms which may eventually be developed into novel orally available drugs to treat atherosclerosis. Based on the information collected in a previous project and based on functional studies of the same biological pathways also small compounds interfering with other targets in the same signaling pathway may be addressed. The compounds will be tested for their efficacy in in vitro assays as well as several relevant mouse models. Relevant papers - Zarzycka B, Seijkens T, Nabuurs SB, Ritschel T, Grommes J, Soehnlein O, Schrijver R, van Tiel CM, Hackeng TM, Weber C, Giehler F, Kieser A, Lutgens E, Vriend G, Nicolaes GA. Discovery of small molecule CD40-TRAF6 inhibitors.<http://www.ncbi.nlm.nih.gov/pubmed/25622654> J Chem Inf Model. 2015 23;55:294-307. - Chatzigeorgiou A, Seijkens T, Zarzycka B, ......Nicolaes G, Chavakis T, Lutgens E. Blocking CD40-TRAF6 signaling is a therapeutic target in obesity-associated insulin resistance.<http://www.ncbi.nlm.nih.gov/pubmed/24492375> Proc Natl Acad Sci U S A. 2014; 111:2686-91. 2. We ask For this four-year project (ERC Consolidator grant) we are searching for a PhD-student with a master degree in biomedical sciences, life sciences, medicinal chemistry or biochemistry. Especially candidates with experience in structural bioinformatics, drug design and programming in a LINUX environment are requested to apply. We search a PhD-student who is fascinated by scientific research and innovation, motivated and eager to learn, who can work methodically and accurately and who is a great team player and has great communication and presentation skills in English. The ideal candidate will combine in silico and in vitro experimentation. Considering a potential small teaching opportunity, the ability to speak Dutch would be considered an advantage. 3. Where... You will work in a multidisciplinary international team that focuses on the interplay between the vessel wall, plasma proteins and immune cells. This team is embedded in the Department of Medical Biochemistry of the Academic Medical Center Amsterdam (Amsterdam), and Maastricht University (Maastricht). The candidate will first be stationed at the Maastricht University, where you will work in the group of Dr. Gerry Nicolaes, expert in the development of small compounds. You will be trained in drug discovery, design and optimization under the direction of Dr. Gerry Nicolaes. Upon positive identification of novel biologically active compounds, you will be actively involved in the functional characterisation of molecules via in vitro and in vivo assays at the Amsterdam department of Medical Biochemistry, working under the direction of Prof. Esther Lutgens. 4. We offer You will be employed on the basis of a 36-hour week. Appointment is for four years. Your salary will depend on your qualifications and experience (according to UMC-CAO). 5. Contact details For more information please contact dr. G. Nicolaes (g.nicolaes(a)maastrichtuniversity.nl<mailto:g.nicolaes@maastrichtuniversity.nl>)

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open position PhD student/postdoc
by Vercoulen-2, Y. 08 Mar '17

08 Mar '17

Dear all, I have a position for a motivated PhD student or postdoc in bioinformatics & cancer research, starting in September. For details see: https://www.werkenbijumcutrecht.nl/vacatures/Paginas/postdoc-or--phd-studen… Interested candidates can contact me, or apply via the website. Best, Yvonne Yvonne Vercoulen, PhD Molecular Cancer Research Center for Molecular Medicine UMC Utrecht ------------------------------------------------------------------------------ De informatie opgenomen in dit bericht kan vertrouwelijk zijn en is uitsluitend bestemd voor de geadresseerde. Indien u dit bericht onterecht ontvangt, wordt u verzocht de inhoud niet te gebruiken en de afzender direct te informeren door het bericht te retourneren. Het Universitair Medisch Centrum Utrecht is een publiekrechtelijke rechtspersoon in de zin van de W.H.W. (Wet Hoger Onderwijs en Wetenschappelijk Onderzoek) en staat geregistreerd bij de Kamer van Koophandel voor Midden-Nederland onder nr. 30244197. Denk s.v.p aan het milieu voor u deze e-mail afdrukt. ------------------------------------------------------------------------------ This message may contain confidential information and is intended exclusively for the addressee. If you receive this message unintentionally, please do not use the contents but notify the sender immediately by return e-mail. University Medical Center Utrecht is a legal person by public law and is registered at the Chamber of Commerce for Midden-Nederland under no. 30244197. Please consider the environment before printing this e-mail.

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