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ERC-funded PhD position in molecular genetics: Unravelling the eukaryotic post-transcriptional regulatory code Job description Are you interested in unraveling a central, yet understudied mechanism
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) at the VIB CMN. We are excited to announce a call for a joint PhD student in our labs to work on a challenging project at the interface of neurodegeneration, genomics, computational and systems biology
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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. NERF is a joint research initiative by imec, VIB and KU Leuven. The project We are looking for a PhD candidate interested in developing machine learning methods and applying them to neuroscience problems
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Python Ability to adapt to the research environments while being full members of two labs Desirable skills knowledge of gene regulatory mechanisms statistical analysis basic processing of NGS data