October 2008 - BBClist - maillist.psb.ugent.be

PhD research position in Bioinformatics & Machine Learning in ULB-MLG, Brussels, Belgium
by Gianluca Bontempi 23 Oct '08

23 Oct '08

***PhD research position in Bioinformatics & Machine Learning*** Functional Genomics Unit, IJB & Machine Learning Group, ULB Brussels, Belgium *Position description Applications are invited for a full-time PhD research position at the Functional Genomics Unit (FGU), Medicine Department, Institut jules Bordet (IJB), Belgium. The researcher will get his/her PhD in the Machine Learning Group (MLG), Computer Science Department, Université Libre de Bruxelles (ULB), Belgium. The vacancy available to be filled in soon offers tenure of four years. The researcher is expected to carry out fundamental research in Machine Learning (MLG) and to take an active role in the applied research projects of the FGU, which is funding the position. The Functional Genomics Unit is a research group that carries out applied research on genomics in breast cancer. Cutting-edge bio- technologies are used to bring new insights in breast cancer biology. These new discoveries are then brought to clinic (translational research) in order to improve the management of breast cancer patients. The Machine Learning Group is a research group that carries out theoretical research on statistical machine learning, predictive modeling and computational statistics, and takes part in several applied research projects in domains as diverse as data mining, bioinformatics to biomedical engineering and wireless sensor networks. This inter-disciplinary position provides unique opportunities in bioinformatics. Previous studies involving microarray and survival data in breast cancer led to high impact publications (see http://www.ulb.ac.be/di/map/bhaibeka/research.html for an overview). The machine learning methods introduced in these articles deal specifically with the high dimensionality of the microarray data and the fitting/validation of models for survival prediction of the patients. *Qualifications Candidates are expected to attach their transcripts and a letter of recommendation from their MSc supervisor or any other relevant person. Applicants are expected to have strong programming skills, the ability to work independently, strong interpersonal skills, good writing and oral communication. Any research experience on data mining, machine learning, and statistical analysis will be an asset as well as an experience in microarray data analysis. Upon offer of a position, the candidates who are non-EU citizens are required to obtain an appropriate long-term Schengen visa; further information is available from their nearest Belgian embassy. *Deadline Applicants are encouraged to apply as soon as possible as positions will remain open until filled in by a suitable candidate. *Contact Candidates are invited to send their CV with the detailed list of publications and a research statement in .pdf format by email to gbonte(a)ulb.ac.be The subject field of your email must include MLG-JOB: research position. *Equal Opportunity Employer ULB is an equal opportunity employer and is committed to employing more handicapped individuals and especially encourages them to apply. ULB wishes to increase the proportion of women in areas in which they are under-represented. Women are strongly encouraged to apply. -- Pr. Gianluca Bontempi Head of the Computer Science Department - Département d'Informatique Head of the Machine Learning Group Université Libre de Bruxelles Boulevard du Triomphe - CP212 1050 Bruxelles, Belgium email: gbonte(a)ulb.ac.be Office Phone: +32-2-650 55 91 Fax: +32 2 650.56.09 web: http://www.ulb.ac.be/di/mlg

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Soutenance publique de la thèse de Sylvain Brohée
by Jacques van Helden 22 Oct '08

22 Oct '08

Soutenance publique de la thèse de Sylvain Brohée Etude bioinformatique du réseau d'interactions entre protéines de transport chez les Fungi Directeurs de thèse: Jaques van Helden & Bruno André Lundi 10 novembre 2008 à 16:30 ULB Campus Plaine, Salle Solvay Bâtiment N/O, niveau 5 Boulevard du Triomphe, Accès 2, 1050 Bruxelles Plan d'accès: http://www.ulb.ac.be/docs/campus/pla_NO.html Résumé de la thèse Les protéines associées aux membranes sont d'une importance cruciale pour la cellule. Cependant, en raison d'une plus grande difficulté de manipulation, les données biochimiques les concernant sont très lacunaires, notamment au point de vue de la formation de complexes entre ces protéines. L'objectif global de notre travail consiste à combler ces lacunes et à préciser les interactions entre protéines membranaires chez la levure Saccharomyces cerevisiae et plus précisément, entre les transporteurs . Nous avons commencé notre travail par l'étude d'un jeu de données d'interactions à grande échelle entre toutes les perméases détectées par un méthode de double hybride spécialisée pour les protéines membranaires. La qualité des données a été estimée en étudiant le comportement global des données et des témoins négatifs et positifs. Les données ont ensuite été standardisées et filtrées de façon à ne conserver que les plus significatives. Ces interactions ont été étudiées en les modélisant dans un réseau d'interactions que nous avons étudié par des techniques issues de la théorie des graphes. Après une évaluation systématique de différentes méthodes, nous avons notamment recherché au sein du réseau des groupes de protéines densément interconnectées et de fonctions similaires (clustering sur graphe) qui correspondraient éventuellement à des complexes protéiques. Les résultats révélés par l'étude du réseau expérimental se sont révélés assez décevant. En effet, même si nous avons pu retrouver certaines interactions déjà décrites, un bon nombre des interactions filtrées semblait n'avoir aucune réalité biologique et nous n'avons pu retrouver que très peu de modules hautement connectés de fonction homogène. L'approche expérimentale n'ayant eu que peu de succès, nous l'avons contournée en utilisant des méthodes de génomique comparative d'inférence d'interactions fonctionnelles. Dans un premier temps, malgré une évaluation rigoureuse, l'étude des profils phylogénétiques (la prédiction d'interactions fonctionnelles en étudiant la corélation des profils de présence – absence des gènes dans un ensemble de génomes), n'a eu que des résultats mitigés car les perméases semblent très peu conservées dès lors que l'on considère d'autres organismes que les Fungi. Par la suite, nous avons ensuite développé une nouvelle méthode qui construit un réseau de co-régulation génétique sur base de la similarité des empreintes phylogénétiques découvertes dans tous les gènes de levure. Cette méthode, qui n'utilise que les séquences génomiques pour l'inférence du réseau, a donné de très bons résultats, validés in silico et expérimentalement et son application à l'ensemble des perméases a permis de retrouver plusieurs régulations bien connues, d'en inférer de nouvelles et de proposer de nouvelles pistes de recherche. En parallèle à ce travail, nous avons développé et rendu accessible NeAT (http://rsat.bigre.ulb.ac.be/neat/) un ensemble d'outils informatiques consacrés à l'analyse de réseaux biologiques.

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BioCafe November 2008
by M.D. Stobbe 20 Oct '08

20 Oct '08

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PhD student position in Proteomics related Bioinformatics: Quantitation, processing and classification algorithms for mass spectrometry
by Peter Horvatovich 19 Oct '08

19 Oct '08

THE UNIVERSITY OF GRONINGEN AS PARTNER OF THE NETHERLANDS PROTEOMICS CENTER OFFERS a PhD student position in the Department of Analytical Biochemistry (Dr. Péter Horvatovich, Prof. Rainer Bischoff) to work on a project entitled: Proteomics related Bioinformatics: Quantitation, processing and classification algorithms for mass spectrometry This PhD position is embedded within the larger collaborative network of the Netherlands Proteomics Center (NPC, www.netherlandsproteomicscentre.nl/) a national center of excellence. The PhD project will focus on developing new bioinformatics tools and algorithms for processing and statistical analysis of proteomics LC-MS data. The work will consist in participating in the development of an integrated data processing framework interconnecting multiple open source data processing pipelines, quality control tools to assess the global and individual quality of LC-MS data processing modules, development tools for integration of multidimensional chromatography data and development of specific time alignment solutions for charge state- and isotope-shifted LC-MS data. This work will be performed in close collaboration with groups at the University of Utrecht (Prof. Heck and Dr. van Breukelen) and the European Bioinformatics Institute (Dr. Hermjakob). The candidate will collaborate closely with other research group forming the Netherlands Bioinformatics for Proteomics Platform initiated by the NPC and the Netherlands Bioinformatics Centre (NBIC) and his/her developed tools will become part of the national proteomics bioinformatics framework using a grid environment. The successful candidate will work in a team (PhD students and postdoctoral fellows) focusing on bioinformatics and analytical chemistry. The Department of Analytical Biochemistry (www.biomac.nl) has extensive experience in proteomics and proteomics-related bioinformatics with a focus on algorithms and methodological developments. Requirements: We are looking for highly motivated candidates with a strong background in mathematics, statistics, or bioinformatics. Experience in multivariate statistical analysis, algorithm development, multiple programming languages (c++, java, Matlab, Perl), database development and programming experience in parallel computing would be a distinctive advantage. Experience in proteomics and analytical techniques will be considered a plus. The candidate should enjoy working in an international and interdisciplinary environment. Conditions of employment: The University of Groningen offers employment for a period of 4 years to be concluded with a PhD thesis. Additional information and sending in of applications: Applications with curriculum vitae and the names of three former or present supervisors that can be contacted as references should be sent to Dr. Péter Horvatovich; E-mail: p.l.horvatovich(a)rug.nl. Phone: +31-50-363-3341 (3336 secr.); Fax: +31-50-363-7582, www.biomac.nl, who is also available for further inquiries about this position. Date limit for application: 16 November 2008. Peter Horvatovich Faculty of Mathematics and Natural Sciences Department of Pharmacy Analytical Biochemistry Antonius Deusinglaan 1 9713 AV Groningen P.O. Box 196 9700 AD Groningen The Netherlands Telephone: +31-(0)50-363 3341 Fax: +31-(0)50-363 7582 Mobile: +31-(0)6-36 570 682 Email: p.l.horvatovich(a)rug.nl Homepage: www.biomac.nl

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job Web/Software Developer in Gent
by Stefanie De Bodt 17 Oct '08

17 Oct '08

============================== We are seeking a Web/Software Developer ============================== The Department of Plant Systems Biology, VIB, University Gent (www.psb.ugent.be <http://www.psb.ugent.be>) is an internationally renowned and dynamic research institute that employs molecular genetics, genomics and bioinformatics to unravel developmental processes in plants and is led by Prof. Dirk Inzé. About the position: You are responsible for software development in bioinformatics and data mining in the context of research aiming to increase yield in plants. The development of visualizations and web interfaces for existing tools as well as the development of new software and web sites will be part of your tasks. Profile: * You have a degree in Informatics (Graduate, Engineering or Bachelor/Master) * You have experience in MySQL, C++, Java, PHP. * You speak English fluently. * You have good communication skills. You are a team player. You are independent and like to take initiative. You are flexible. * Experience in bioinformatics and data mining is not required. However, an interest in these topics is a plus. We offer a contract of 5 years, within University Gent, with the possibility of prolongation. We offer a diverse job in a young team, an open and informal work atmosphere and in modern facilities. Start date: as soon as possible. The position will be open until a suitable candidate is found. Contact: Information: Further information can be obtained by contacting Stefanie De Bodt (stefanie.debodt(a)psb.ugent.be) Application: Send your letter of motivation, your CV and if possible references to: Hilde Diegenant Department of Plant Systems Biology Technologiepark 927 9052 Gent Tel: +32 93313806 or through email to hilde.diegenant(a)psb.ugent.be -- ================================================================== Stefanie De Bodt, PhD VIB Department of Plant Systems Biology, UGent Technologiepark 927 B-9052 Gent Belgium Tel: 32 (0)9 3313692 Website: http://www.psb.ugent.be ==================================================================

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The early-bird registration deadline of the Benelux Bioinformatics Conference 2008 is approaching
by Andra Waagmeester 17 Oct '08

17 Oct '08

This year the annual Benelux Bioinformatics Conference will be organised by BiGCaT-Bioinformatics of Maastricht University. The deadline for abstract submission has passed. Those particpants that register before October 21st will pay a reduced participation fee. For details please see the following website: http://www.nbic.nl/bbc2008 The final deadline for registration is December 1st, 2008 Benelux Bioinformatics Conference December 15 and 16, 2008 For additional information go the website or contact Andra Waagmeester (andra.waagmeester(a)bigcat.unimaas.nl) or Susan Coort (susan.coort(a)bigcat.unimaas.nl) (telephone: +31 (0)43 388 2913

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[Fwd: Post Doctoral Opportunity – Evolution of Gene Expression in Drosophila]
by Stein Aerts 09 Oct '08

09 Oct '08

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Fwd: Post doctoral position in Proteomic at UMH
by Jacques van Helden 09 Oct '08

09 Oct '08

Date: Thu, 9 Oct 2008 14:52:28 +0200 Subject: Post doc position in proteomic Dear all Please find a post doctoral position in my lab best regrads ruddy ---------------------------------------------------------- Post doctoral position in Proteomic In the context of a project of European Space Agency (ESA), a post doctoral position (for 6/18 months) is available at the department of Proteomic and Protein Biochemistry of the University of Mons-Hainaut (Belgium). Suitable applicants must have obtained a PhD, ideally in the field of proteomic. A strong background in mass spectrometry and bioinformatic should be highly appreciated. The successful candidate should also possess a high degree of motivation, excellent written and verbal communication skills and a demonstrated ability to work in a team environment and interact with a multi-disciplinary team of scientists. Interested applicants should submit a curriculum vitae, a statement of research interest to: Professor R. Wattiez Dept. of Proteomic and Protein Biochemistry University of Mons-Hainaut Avenue du champs de Mars, 6 B-7000 Mons Belgium ruddy.wattiez(a)umh.ac.be

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Vacancies @ Utrecht University
by Breukelen, dr. ir. B. van (Bas) 08 Oct '08

08 Oct '08

LS, The Biomolecular Mass Spectrometry and Proteomics Group at Utrecht University, The Netherlands is looking for enthusiastic Bioinformaticians who would like to work on Bioinformatics for Proteomics Research. See attached documents for more details. Please feel free to forward this mail to other relevant (interested) groups/people. With kind regards, Bas ________________________________________________________________________ _____ Dr. Ir. B. van Breukelen Assistant Professor Biomolecular Mass Spectrometry and Proteomics Group (Bioinformatics) **** Wentbuilding Z315 Sorbonnelaan 16 3584 CA, Utrecht **** +31 (0)30 253 9761 (T), +31 (0)6 24996046 (M) b.vanbreukelen (skype) and b.vanbreukelen(a)uu.nl <mailto:b.vanbreukelen@uu.nl>

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open postdoc position computational biology at CWI Amsterdam
by Gunnar W. Klau 08 Oct '08

08 Oct '08

In the context of its recently initiated priority theme, "Earth and Life Sciences", Centrum Wiskunde & Informatica (CWI) invites applications for the position of a *post-doctoral position* (two years, with possible extension). CWI is the national research institute for mathematics and computer science in the Netherlands. CWI performs frontier research in mathematics and computer science and transfers new knowledge in these fields to society in general and trade and industry in particular. The opening is a research position within the field of *computational biology*. The candidate will contribute to the development of algorithmic and statistical methods for problems involving biological networks. These include network alignment, comparison, and query problems as well as subnetwork identification problems that require the integration of additional data, like gene expression or survival data. A large part of the work will be the application of these methods to biologically or medically relevant problems such as the identification of functional modules in protein-protein interaction (PPI) networks by means of detecting jointly differentially expressed network regions. The ideal candidate * has excellent knowledge of the underlying biological mechanisms * is able to turn his or her knowledge into software tools * has experience with or is willing to learn aspects of discrete optimization, algorithmics, and statistics The candidate is expected to have a demonstrated record of excellent research and to be able to carry out his own research agenda and to collaborate with colleagues at CWI and other institutions. Salary and terms of employment are in accordance with the “CAO-onderzoekinstellingen” and based on qualifications. Besides the salary and excellent working conditions, CWI offers attractive and flexible term of employment, like a collective health insurance, pension-fund, and initial help with housing for foreigners. Applications including a cover letter, a curriculum Vitae, a list of publications, and a list of references should be send by email before 1 November 2008 to Dr. G. W. Klau, e-mail: Gunnar.Klau(a)cwi.nl, who can also supply further information about this position. -- Gunnar W. Klau >> phone +31-20-592-4117 gunnar.klau(a)cwi.nl >> fax +31-20-592-4199 Centrum Wiskunde & Informatica >> http://homepages.cwi.nl/~klau

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