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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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Job description We’re looking for a postdoc with hands-on experience in genetically modifying marine phytoplankton—someone excited to learn how microbes naturally sequester carbon in the environment
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Description We are seeking a motivated new colleague who wants to join an exciting research program within the VIB-UAntwerp Center for Molecular Neurology in the Pasciuto lab (Prof. Emanuela
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to develop new carbon capture technologies. We are seeking a motivated postdoc to identify biochemical activities in phytoplankton that convert intracellular metabolites into stable, degradation-resistant
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, an excellence-based research institute KU Leuven, one of Europe’s leading research universities State-of-the-art research facilities An extensive VIB and KU Leuven training program to broaden your
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, and Fagales. Research Focus While the two positions will work closely together and share many responsibilities, they have slightly different initial focus areas: Position 1: Computational Genomics and
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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Project description We are a highly motivated international team of researchers at the Molecular Neurogenomics group (Jordanova Lab) and the Computational Neurobiology group (Malysheva Lab
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starts from biological questions and challenges that are addressed using state-of-the-art and novel computational and AI strategies, through close interactions and iterations with biological experiments
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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical