[microarrays 
transcriptional regulation gene regulatory networks
network inference data fusion clinical applications
machine learning statistics Bayesian and MCMC methods]
|
The bioinformatics research group of the K.U.Leuven is looking for enthusiastic researchers with a creative and open mind. You are
fluent in English, have excellent communication skills, and a background in engineering, computer science, mathematics, or statistics, molecular biology, or genetics. Apply now, if you are interested in a PhD or postdoc position in our international and multidisciplinary bioinformatics team.
Specific open vacancies: SymBioSys program funding:
The University of Leuven is located next to Brussels, Belgium in the Flemish Renaissance city of Leuven. The university is the oldest in the Low Countries, the largest in Belgium, and a member of the League of European Research Universitites - a partnership among 20 of Europe's top research universitites. It is ideally located at the heart of Europe in the international, historic, and dynamic city of Leuven in Flanders - one of Europe's most economically, socially, and culturally flourishing regions. |
|
|
-
PhD position: Genomic data fusion using statistical and probabilistic methods
PhD position is available for the development of new algorithms for genomic data fusion using statistical methods and probabilistic graphical models. The goal is to identify candidate genes that are most promising for further biological validation using on data from multiple sources (microarray, sequence, annotation, literature, etc.). The goal of the project is to significantly extend the scope of current methods for data fusion, such as the method implemented in our current tool Endeavour (http://www.esat.kuleuven.ac.be/endeavour) (Aerts et al. Nat Biotechnol. 2006 May;24(5):537-44.).
The ideal candidate will have a master's degree with a background in one of the following areas: bioinformatics, engineering, computer science, statistics, physics, biotechnology, or biology. Knowledge of fundamental aspects of computer science (algorithms and data structures, programming languages) is required. Previous knowledge of artificial intelligence, statistics, or bioinformatics is highly desirable.
Applications should include your CV, including (1) academic degrees with GPA, honors, and rank obtained, (2) work experience, (3) skills in machine learning, statistics, bioinformatics, programming, or biology, (4) relevant courses or transcript, (5) publications, and (6) awards; a short statement of research interest; and contact information (including email addresses) for at least two references. Please send your application preferably by email to Ida.Tassens and Yves.Moreau (using PDF or plain text for your attachments) to the attention of Prof. Yves Moreau.