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PI jobs at Netherlands Institute for Sea Research NIOZ
by Bas E. Dutilh 07 Jul '16

07 Jul '16

Dear colleagues, The Netherlands Institute for Sea Research NIOZ has six PI positions available (including one for a bioinforatics PI) in Marine Microbiology and Biogeochemistry with great startup packages: https://www.workingatnioz.com/5-senior-(or-tenure-track)-scientists-for-the… Please send to any interested parties. Best, Bas -- Dr. Bas E. Dutilh Metagenomics Group Theoretical Biology and Bioinformatics, Utrecht University Utrecht Bioinformatics Center +31 (0)30 253 4212 - http://tbb.bio.uu.nl/dutilh

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looking for postdocs in systems genetics @ UMCG
by Morris Swertz 06 Jul '16

06 Jul '16

See http://www.ow.ly/ylNq301Y9TU App We are seeking three ambitious postdocs and one postdoc or PhD student to contribute to different innovative and interdisciplinary genomics projects. Please mention the specific position you wish to apply for in your application. *Position 1. Senior postdoc position (three years) in Prof. Lude Franke’s group (www.ludesign.nl/frankelab <http://www.ludesign.nl/frankelab>) * The Franke group is supported by an ERC Starting grant and an NWO VIDI grant. The group aims to conduct single-cell RNA-sequencing to identify the cell types in which disease-risk alleles manifest. We are also interested in how perturbations, e.g. due to bacterial and viral infection, alter downstream gene expression effects. We seek an *experienced and highly skilled post-doc* to design, set up, and conduct novel single-cell RNA-sequencing experiments that will further our understanding of common diseases. This postdoc will be responsible for the design and implementation (including validation and troubleshooting) of the single-cell RNA-sequencing experiments, for interpreting the results and writing the associated papers. You will work with a PhD student, who has already started and who specializes in programming and analysis of next generation sequencing data. We expect you to anticipate and respond to new developments in this fast-moving field and to design the optimal single-cell RNA-sequencing strategy. You will already have expertise and experience in setting up complex genomics and sequencing experiments, preferably using limited amounts of input material, an affinity with immunology, and the ability to work largely independently. For more information, please contact Prof. Lude Franke (lude(a)ludesign.nl) *Position 2. Junior postdoc position (two years) in Prof. Cisca Wijmenga’s group (www.systemsgenetics.nl <http://www.systemsgenetics.nl> & w.rug.nl/research/genetics/research/multifactorialdiseases/ <http://w.rug.nl/research/genetics/research/multifactorialdiseases/>)* The Wijmenga group is supported by an ERC Advanced grant, an NWO Spinoza prize and a grant from the KG Jebsen Center for Coeliac Disease (Oslo). Our highly international and multi-disciplinary group consists of molecular biologists, immunologists, physicians, bio-statisticians and bioinformaticians. As part of our on-going collaboration with Prof. Ludvig Sollid and the Jebsen Center, we are seeking a*junior postdoc* to work on a project probing the molecular and genetic underpinnings of autoimmune diseases, with an emphasis on coeliac disease. Various types of immune cells from coeliac disease patients will be profiled in depth, using genomics techniques such as RNA-sequencing, ATAC-seq, Precision-Run-On (PRO) sequencing and ChIP-seq. These data layers will be associated with patient genotypes to determine the molecular effect of genetic risk factors on coeliac disease. The postdoc will be responsible for designing, developing, validating and conducting these experiments, as well as interpreting the results and writing papers in collaboration with the rest of the team. The goal is to expedite the development of diagnostics and treatment for coeliac disease and for other autoimmune diseases. We are looking for a highly collaborative person with extensive experience in techniques such as RNA-seq, ChIP-seq, DHS- or ATAC-seq, and/or 3C-seq. You will have an affinity with immunology, genetics and epigenetics, and molecular biology. While there will be bioinformaticians working with you on the project, some knowledge of programming and bioinformatics is highly preferred. You should be are able to work independently in a project involving many people and disciplines, and highly motivated to work in an international collaboration. For more information, please contact Dr. Iris Jonkers (i.h.jonkers(a)umcg.nl) or Prof. Cisca Wijmenga (c.wijmenga(a)umcg.nl) *Position 3. Postdoc or PhD position (two years postdoc or four years PhD) in Prof. Cisca Wijmenga’s group (www.systemsgenetics.nl <http://www.systemsgenetics.nl> & www.rug.nl/research/genetics/research/multifactorialdiseases/ <http://www.rug.nl/research/genetics/research/multifactorialdiseases/>)* The Wijmenga group is supported by an ERC Advanced grant, an NWO Spinoza prize, and a grant from the KG Jebsen Center for Coeliac Disease (Oslo). Our highly international and multidisciplinary group consists of molecular biologists, immunologists, physicians, bio-statisticians and bioinformaticians. Within our ongoing collaboration with Prof. Ludvig Sollid and the Jebsen Center, we are seeking *a postdoc or PhD student*to work on a project to identify the causal genetic variants and genes for autoimmune diseases, with an emphasis on coeliac disease. Using state-of-the-art genomics techniques we will be zooming in on the genomic regions that predispose individuals to these diseases. To identify the true causal genetic risk factors, we will make use of the latest gene editing tools to re-create or repair genetic risk factors and genes, most of which reside in non-coding DNA. You will engineer immune cells with CRISPR/Cas9 and use reporter assays and genomics tools as read-outs to assess the effects. Your work will fit seamlessly into the overall aim of the group to determine the molecular and genetic basis of autoimmune diseases. We are seeking a highly motivated postdoc or PhD student with experience in troubleshooting and developing new technologies. Your will uncover the function of the non-coding DNA affected by genetic variants associated with disease risk in an unbiased way. You will set-up innovative ways to edit non-coding DNA in a high-throughput manner, and reporter assays to quickly assess the downstream effects of these edits. You will have great independence in developing, performing and analyzing these experiments. We are therefore looking for someone able to work independently, who has experience with reporter assays, immunology and/or manipulation of immune cells, preferentially with CRISPR/Cas9. Finally, we are seeking a scientist who will share our ambition to perform outstanding research at the highest international level. For more information, please contact Dr. Iris Jonkers (i.h.jonkers(a)umcg.nl) or Prof. Cisca Wijmenga (c.wijmenga(a)umcg.nl) *Position 4. Postdoc position (two years) in Prof. Morris Swertz’s group (www.systemsgenetics.nl <http://www.systemsgenetics.nl>)* The Swertz group is supported by an NWO VIDI grant and many national and international infrastructure grants. This group of 25 bioinformaticians develops analysis pipelines and database support interfaces for next-generation sequencing analysis (NGS) and the integration of multi-omics datasets from biobank samples, as well as tools to support personalized medicine prediction. Our algorithms, pipelines and databases are part of the MOLGENIS open source software suite ( http://github.com/molgenis) We are seeking a *postdoc* to coordinate and develop research opportunities in the area of NGS data analysis at the crossroads between clinical diagnostic work and research. As the challenge of NGS lies in data interpretation, you will focus on novel pipelines and methods to enable whole-genome interpretation, automated analysis/re-analysis, and population-based ‘big data’ methods to predict health/disease outcomes. As a postdoc you will write scientific research papers and co-supervise a team of scientific programmers, PhD students and postdocs, while overseeing a large high performance computing cluster of >1000 cores and a petabyte of storage. We are looking for someone with a PhD in bioinformatics, computer science, molecular biology, genomics, epidemiology, artificial intelligence, or another relevant computational science. You should have expertise in large-scale bioinformatics and NGS analyses, be fluent in written and spoken English with good communication skills, and be highly motivated to further biomedical research and translate the results to the clinic. We will appreciate excellence and a good track record in one or more of the following: mathematics/statistics, high performance computing, machine learning, Linux, Bash, SLURM, R, Python, Perl, Java, BWA, GATK, Jenkins, Maven, Git, R, GWAS/gene expression, biobanking, QTLs, genetics or epidemiology. For more information, please contact Prof. Morris Swertz (m.a.swertz(a)rug.nl ). Apply by filling your application at http://www.umcg.nl/EN/corporate/careers/Careers/Medicalscientific_staff/Pag… App -- Dr. Morris A. Swertz Coordinator BBMRI-NL common services for IT Coordinator DTL sector health Coordinator NFU biobank catalogue working group Head Section Systems Genetics & Genomics Coordination Center Associate Professor - Big data in biomedicine Dept. of Genetics, CB50 University Medical Center Groningen P.O. Box 30001 9700 RB GRONINGEN The Netherlands Phone +31 50 3617100 Fax + 31 50 3617230 Email m.a.swertz(a)rug.nl

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Life Science courses in autumn 2016
by Sari van Heel - Vauhkala 06 Jul '16

06 Jul '16

Life Science Courses at Avans Hogeschool We would like to draw your attention to three courses that Research Group Analysis Techniques in Life Science (Avans Hogeschool, Breda) will be offering in autumn 2016 (all these courses will be taught in Dutch): 1) Next generation sequencing in microbiologische ziekenhuis laboratoria, Thursday 22 September 2016 Registration fee: €150,- Website: http://www.alsavans.nl/cursussen/avans-training-2573.html 2) Medische Immunologie, from 1 September 2016 to 13 October 2016 (evening course) Registration fee: €850,- Website: http://www.alsavans.nl/cursussen/avans-training-2591.html 3) Flowcytometrie, van kalibratie tot applicatie, 8, 15 & 22 November 2016 Registration fee: €600,- Website: http://www.alsavans.nl/cursussen/avans-training-2541.html The digital registration form is available on the website. Should you have any questions, please do not hesitate to contact us by email at: si.vanheel-vauhkala(a)avans.nl Kind regards, Ms. Sari van Heel-Vauhkala Secretary Research Group Analysis Techniques in Life Science Disclaimer ( http://www.avans.nl/over-avans/e-mail-disclaimer )

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Research Position in Computational Biology at Erasmus MC, Rotterdam
by M.A. Sanders 05 Jul '16

05 Jul '16

Position Bioinformatics and Integrative Computational Analysis of Blood Cell Development and Leukemia Organization The Erasmus MC in Rotterdam is the largest university medical center in the Netherlands. The Department of Hematology runs ambitious research programs on lymphoid organ development, stem cell biology, normal blood cell development and leukemia. The department combines basic, translational and clinical research and accommodates a state of the art infrastructure for cell biological, genomic and clinically applied research. Job description The position is embedded in multidisciplinary research groups affiliated with the department of Hematology. The research is focused on applying advanced computational technologies to next-generation sequencing data to further the understanding of cancer biology. The primary focus is to utilize and integrate methyl-seq, ChIP-Seq, RNA-Seq, chromatin conformation capture combined with high-throughput sequencing (4C) data sets to identify and characterize novel mechanisms underlying the development and heterogeneous clinic-biological features of leukemia. These are joint initiatives with the different research groups, in which the computational characterizations are complemented and validated with lab experiments and vice versa. Candidate profile The ideal candidate for the described position should have an MSc or PhD degree in Bioinformatics, Bio-engineering, Computer Science, Statistics, Mathematics or equivalent. Strong experience in C++, Java, R and/or Matlab programming is preferred in addition to data analysis, data management and applied statistics in general. Affinity with the underlying biological background is considered a strong asset. The candidate should be able to participate in a multidisciplinary group, be proficient in English (in speech as well as in writing) and have good communication skills. Candidates from outside the Netherlands are welcomed to apply as well. Conditions of employment The Erasmus MC offers a salary in accordance with the collective labor agreement (CAO) for Dutch university medical centers, depending on qualifications and experience. The position is temporary for 1 year, with a possible extension by 2 years. Interested? For further information please contact Mathijs Sanders (m.sanders(a)erasmusmc.nl<mailto:m.sanders@erasmusmc.nl>) or Ivo Touw (i.touw(a)erasmusmc.nl<mailto:i.touw@erasmusmc.nl>). Visit http://www.erasmusmc.nl/hematologie/research2/ for general information on our research programs. Please mail your application and CV to Mathijs Sanders (m.sanders(a)erasmusmc.nl<mailto:m.sanders@erasmusmc.nl>), preferably before August 1, but not later than August 20, 2016. Unsolicited marketing is not appreciated.

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Few places left on our stats course "Genetic data analysis/exploration using R"
by Oliver Hooker 05 Jul '16

05 Jul '16

We still have a few places left on our stats course "Genetic data analysis/exploration using R" Delivered by Dr. Thibaut Jombart http://prstatistics.com/course/genetic-data-analysis-using-r-gdar/ This course will run from 16th – 20th August, Millport Field Station, Ilse of Cumbrae, Scotland This course will provide an extensive overview of exploratory methods for the analysis of genetic data using the R software and aim to equip participants with powerful resources for tackling increasingly common challenges in genetic data analysis. The course is aimed at PhD students, research postgraduates, and practicing academics as well as persons in industry working with genetic data in fields such as molecular ecology, evolutionary biology, and phylogenetics. This course will provide a comprehensive introduction to various statistical approaches for the analysis of genetic data. Course content is as follows Day 1 Introduction to phylogenetic reconstruction • Lecture 1a: Reconstructing phylogenies from genetic sequence data. Three main approaches covered: distance-based phylogenies; maximum parsimony; and likelihood-based approaches. • Lecture 1b: Short R refresher. • Practical 1: Phylogenetic reconstruction using R. Three main approaches plus rooting a tree; assessing/testing for a molecular clock; and bootstrapping. Main packages: ape, phangorn. Day 2 Introduction to multivariate analysis of genetic data • Lecture 2: Key concepts in multivariate analysis. Focus on using factorial methods for genetic data analysis. • Practical 2: Basics of multivariate analysis of genetic data in R. Topics include: data handling, population genetic tests of population structure (PCA, PCoA). Main packages: adegenet, ade4, ape. Day 3 Exploring group diversity • Lecture 3: Approaches to identifying and describing genetic clusters. Topics include: hierarchical clustering, K-means, population-level multivariate analysis (between-group-PCA, DA, DAPC). • Practical 3: Applying the approaches covered in morning lecture and emphasising their strengths and weaknesses. Main packages: adegenet, ade4. Day 4 Spatial genetic structure • Lecture 4: Discussing the origin and significance of spatial genetic patterns, and how to test or them. • Practical 4: Visualising and analysing spatial genetic data. Topics: spatial density estimates, Moran/Mantel tests, mapping principal components in PCA, spatial PCA. • Main packages: adegenet, glmnet. Main packages: adegenet, glmnet. Day 5 Using R for reproducible science • Lecture 5: Using R for reproducible science. • Practical 5: Practical session based on morning lecture • Main packages: knitr, Sweave, rmarkdown • Option to discuss own data (time permitting) Please email any inquiries to oliverhooker(a)prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhooker(a)prstatistics.com 1. INTRODUCTION TO BIOINFORMATICS USING LINUX (August) 2. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) 3. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 4. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) 5. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) 6. PHYLOGENETIC DATA ANALYSIS USING R (October/November) 7. SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) 8. ADVANCING IN STATISTICAL MODELLING USING R (December) 9. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 10. NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March) 11. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhooker(a)prstatistics.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ -- Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/

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Bio-informatician/PhD position available in Antwerpen.
by ISCBSC announcement 04 Jul '16

04 Jul '16

Dear all, To expand our research on neuroendocrine tumors at the University of Antwerp, we are looking for a bio-informatician/PhD-candidate. Within our team of researchers, this bio-informatician will analyze next generation sequencings data sets, including whole genome and transcriptome tumor-normal data sets, gathered through an international multi-centric clinical trail, funded by the Flemish Kom op tegen Kanker-foundation. More information on this position can be found on: · Bio-informatician/PhD student <https://www.uantwerpen.be/en/jobs/vacancies/ap/2016bapfggwef168/> With kind regards, Timon. *--- Timon Vandamme, MD PhD fellow - Medical Oncology resident* Human Molecular Genetics Prins Boudewijnlaan 43, 2nd floor B2650 Edegem, Belgium Department of Oncology Antwerp University Hospital Wilrijkstraat 10 B2650 Edegem, Belgium e-mail | timon.vandamme(a)uantwerpen.be e-mail | timon.vandamme(a)uza.be

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Fwd: FW: Vacatures PhD NET Antwerpen
by Berry Kriesels 30 Jun '16

30 Jun '16

*Onderwerp:* Vacatures PhD NET Antwerpen Hallo collega’s, Dankzij een Kom op tegen Kanker-beurs, kunnen we de Antwerpse NET-groep verder uitbouwen. Hiervoor zijn we op zoek naar twee nieuwe PhD-studenten: een bio-informaticus en (bij voorkeur) een arts-onderzoeker. Beide onderzoekers zouden, vanuit Antwerpen, aan ons gemeenschappelijke onderzoeksproject werken (inclusief een nog op te starten NET-biomerker-trial). De arts-onderzoeker zou hierin ook wat mijn rol overnemen, aangezien ik vanaf augustus 2016 aan mijn klinisch opleiding begin. Aangezien beide profielen niet zo eenvoudig in te vullen zijn, wou ik vragen of jullie eventueel nog kandidaten wisten/de vacatures konden verspreiden? Meer info over de vacatures vinden jullie hier: · Clinical researcher, PhD project <https://www.uantwerpen.be/en/jobs/vacancies/ap/2016bapfggwef167/> · Bio-informatician/PhD student <https://www.uantwerpen.be/en/jobs/vacancies/ap/2016bapfggwef168/> Met vriendelijke groeten, Timon. *--- Timon Vandamme, MD PhD fellow - Medical Oncology resident* Human Molecular Genetics Prins Boudewijnlaan 43, 2^nd floor B2650 Edegem, Belgium Department of Oncology Antwerp University Hospital Wilrijkstraat 10 B2650 Edegem, Belgium e-mail | timon.vandamme(a)uantwerpen.be <mailto:timon.vandamme@uantwerpen.be> e-mail | timon.vandamme(a)uza.be <mailto:timon.vandamme@uza.be> /Please consider the environment before printing this message./

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STATS COURSE - Landscape (population) genetic data analysis using R'
by Oliver Hooker 29 Jun '16

29 Jun '16

"Landscape (population) genetic data analysis using R” Delivered by Dr. Rodney Dyer http://prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r… This course will run from 17th – 21st October 2016 at SCENE Field Station, Loch Lomond, Glasgow, Scotland The term ‘landscape genetics’ has been applied studies that integrate ecological context and intervening landscape into population genetic analyses of contemporary processes such as gene flow and migration. This course will cover the basics of both quantitative landscape ecology and population genetics, focusing on how we develop and evaluate spatial/genetic analyses using the R platform Course content is as follows Day 1 • Spatial & Ecological Data • Installation & configuring R & RStudio • Acquiring spatial data, projections, and visualization • Vector and raster data Day 2 • Genetic markers and basic analyses • Genetic markers and sampling • Genetic distance, diversity, and structure • Ordination techniques based upon genetic markers Day 3 • Integrating spatial and genetic data • Barrier detection & population division • Resistance Modeling • Mantel and distance regressions • Remote sensing - LiDAR and Hyperspectral data Day 4 • Integrating spatial and genetic data • Spatial autocorrelation • Network Approaches • PCMN & Redundancy Day 5 • Adaptive Genetic Variance • Outliers & gradients • Quantitative genetics, why we should care. • Chromosome walking Please email any inquiries to oliverhooker(a)prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhooker(a)prstatistics.com 1. ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA (July) 2. INTRODUCTION TO BIOINFORMATICS USING LINUX (August) 3. GENETIC DATA ANALYSIS / EXPLORATION USING R (August) 4. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) 5. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 6. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) 7. PHYLOGENETIC DATA ANALYSIS USING R (Octobe/November) 8. SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) 9. ADVANCING IN STATISTICAL MODELLING USING R (December) 10. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 11. ADVANCED PYTHON FOR BIOLOGISTS (February) 12. NETWORK ANALYSIS FOR ECOLOGISTS USING R (March) 13. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhooker(a)prstatistics.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ -- Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/

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PhD studentship in constructive machine learning for synthetic engineering of microbial organisms at Ghent University
by Willem Waegeman 29 Jun '16

29 Jun '16

Fully-funded PhD studentship in constructive machine learning for synthetic engineering of microbial organisms at Ghent University --- Duration of studentship: 4 years Studentship start date: flexible between October 2016 and February 2017 Application closing date: August 15th (will be extended if no suitable candidate is found). Apply as soon as possible to avoid disappointment! --- Project description: Turning organisms into highly-efficient microbial cell factories is a daunting process due to the enormous cellular complexity, i.e., the vast metabolic network superimposed by a multi-level regulatory layer and the fragmentary knowledge thereof. Typically, to steer the strain engineering process a “Design-Build-Test” (DBT) cycle is iteratively run. However, to move more successfully through this cycle and, hence, to more successfully engineer biological systems some major limitations need to be overcome: i) bottlenecks identified in silico by data-driven and/or model-based approaches are often not yielding the expected outcome in vivo (“Design”), and ii) the DNA parts and engineering tools, originating from synthetic biology, perform often inconsistently (“Build”), equally impeding reliable biological engineering. In the proposed project, we aim to solve these limitations by developing novel constructive machine learning and synthetic biology tools that jointly allow such reliable biological engineering. Constructive machine learning describes a class of related machine learning problems where the ultimate goal of learning is not to find a good model of the data but instead to find one or more particular instances of the domain which are likely to exhibit desired properties. While traditional approaches choose these domain instances from a given set/databases of unlabeled domain instances, constructive machine learning is typically iterative and searches an infinite or exponentially large instance space. Background information: The studentship is available as a joint initiative between the research unit KERMIT under supervision of Prof. Willem Waegeman and the research unit MEMO under supervision of Prof. Marjan De Mey. Both research units are part of the Faculty of Bio-science Engineering of Ghent University. KERMIT (acronym for Knowledge Extraction and Representation Management by means of Intelligent techniques) is a young interdisciplinary team of mathematicians, engineers and computer scientists, and it draws upon intelligent techniques resulting from the cross-fertilization between the fields of computational intelligence and operations research. The main focus is on mathematical and computational aspects of relational structures as knowledge instruments, with emphasis on the fields of fuzzy set theory and machine learning. KERMIT serves as an attraction pole for applications in the applied biological sciences, and serves colleagues in hydrology, ecology, bacterial taxonomy, genome analysis, integrated water management, geographical information systems, forest management, metabolic engineering, soil science, bioinformatics, systems biology, etc. MEMO (Metabolic engineering of microorganisms) focuses on the development of novel tools and methods to fine tune metabolic pathways for the biosynthesis of chemically complex metabolites. These novel tools and technologies include several DNA parts libraries as well as efficient and rapid methods for constructing synthetic pathways, transferring them into prokaryotic or eukaryotic microbial systems, and screening them in a high-throughput manner. We apply these tools and methods to create custom designed microbes for the production of useful chemicals from renewable resources, in particular for the production of specialty carbohydrates and natural products. These molecules, or their direct precursors, have a myriad of high-added value applications in - among others- pharmaceuticals, food additives and cosmetics. The ideal candidate for the position has the following profile: •An MSc degree in (Bio-)Engineering, Bio-informatics, Computer Science, Mathematics, Statistics, Physics, or equivalent – candidates from outside Belgium are welcome to apply. •An interest for fundamental machine learning research, as well as practical applications in synthetic biology. •In-depth experience with at least one programming language (Matlab, R, Python, Java, etc.) •An interest for applied mathematics, data management and data analysis in general •Good knowledge of machine learning and statistical methods is a strong asset •Good knowledge of molecular and synthetic biology is a strong asset •Fluent in English (speaking and writing, as demonstrated by personal texts) •Knowledge of Dutch is an asset, but not a must •Team player with good communication skills How to apply Send your c.v., a motivation letter, a copy of your MSc.-thesis and/or any relevant publications to Ruth Van Den Driessche (ruth DOT vandendriessche AT ugent DOT be).

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Still time to apply: Post-doctoral positions in Luxembourg
by Francisco Azuaje 29 Jun '16

29 Jun '16

Dear colleagues, We are seeking post-doctoral researchers to contribute to an international cooperation project in network analysis approaches and their application to cancer research. https://www.lih.lu/jobs/detail/2-post-doctoral-researchers-fa0416-12452 Sincerely, Francisco. _________________________________ Francisco Azuaje, PhD Principal Investigator NORLUX Neuro-Oncology Laboratory Department of Oncology Luxembourg Institute of Health 1A-B, rue Thomas Edison, L-1445 Strassen Luxembourg Tel: +352 26970-875 Fax: +352 26970-719 Email: francisco.azuaje(a)lih.lu<mailto:francisco.azuaje@lih.lu> Website: https://www.lih.lu/ [http://files.lih.lu/outlookSignature/lih.jpg] Join us on Facebook and follow our activities on Twitter: https://www.facebook.com/Luxembourg.Institute.of.Health http://twitter.com/LIH_Luxembourg http://www.norlux.lu This message (including any attachments) is intended for the addressee only and may contain confidential and/or privileged information and/or information protected by intellectual property rights. If you have received this message by mistake, please notify the sender by return e-mail and delete this message from your system. You should not use, alter, copy or distribute this message or disclose its contents to anyone. E-mail transmission can not be guaranteed to be secure or error free as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. Luxembourg Institute of Health shall not be responsible nor liable for the proper and complete transmission of the information contained in this communication nor for any delay in its receipt or damage to your system.

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