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Job description The Vandepoele research lab (Comparative Network Biology - https://www.vandepoelelab.be/ ) invites applications for a fully-funded PhD project for 1 year and extended with another 3
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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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Description The Yves Moreau and Stein Aerts research labs are looking for a shared PhD student to apply deep representation learning and large language models to decipher the genomic regulatory code
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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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are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive
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-existing cell-based assays but also involving new assay development and optimizations. You will work in a sub-team jointly led by a PhD student and senior technician. We look for a candidate comfortable in
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increasingly essential in the field of microbiome research, enabling the elucidation of mechanistic insights from microbial interactions at the functional level. Profile We are looking for a driven PhD candidate
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generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches The host labs will provide financial support for the whole length of the PhD. The applicant will