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Computational Biology PhD to study Complex Genetic Traits

 KU Leuven  Leuven
KU Leuven is recruiting a Computational Biology PhD candidate for an interdisciplinary project that will explore new strategies to better understand complex genetic traits. Many traits of medical or industrial importance are influenced by many genes, though our understanding of how genetic variants influence a phenotype remains limited.

In the project we will combine advanced computational analyses and experimentation in the model organism Saccharomyces cerevisiae to better understand complex genetic traits. A candidate is sought for the computational part where quantitative models of the trait will be built through network analyses, modeling of the metabolism, predicting impacts of genetic variants, and analyzing published and generated datasets. The experimental side of the project will explore the adaptive potential of complex traits through directed experimental evolution coupled with high-throughput analyses (e.g. genome and transcriptome sequencing, robotics). The project will proceed in collaboration with the leading experimental yeast lab of prof. Kevin Verstrepen ( Starting point is flexible, but preferably by January 1st 2017. Applications will be judged as they come in until the position is filled. 

How to apply:
You can apply for this job no later than November 01, 2016 via the online application tool
Send application to
For further information or to apply you can contact Rob Jelier: (
While applying for the job please refer to jobvector and use the following reference number: BAP-2016-475

About KU Leuven

KU Leuven is an ambitious, international and research-oriented university. Internally, the university tries to maintain a balance between the power of the big ship and the flotilla of small, mobile, independent vessels of which it is composed. KU Leuven is home to a lot of creative, young and academic talent. As a leading university in Europe, it is looking for staff who can think outside the box.

More about KU Leuven

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