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licensing, partnerships, and spin‑outs. About the role We are seeking a Computational Biology Scientist in Single-cell omics & AI to support the valorization trajectory of a computational platform combining
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Biology Scientist in Single-cell omics & AI to support the valorization trajectory of a computational platform combining single‑cell omics, AI machine learning, and translational biology. The role involves
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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disease-related protein aggregation. It is an interdisciplinary workplace, bringing together about 25 researchers from different backgrounds, such as bioinformatics, biophysics and cell biology. SWITCH has
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technologies, single-cell platforms, and high-performance computing (Inter)national network: collaborate locally, with international consortia, and leading cancer centres (UCL, Francis Crick Institute, MD
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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for Inflammation Research (IRC) investigates the molecular and cellular mechanisms of inflammation, including inter- and intracellular signaling, immune cell biology, barrier tissue function, and the transition from
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biologist with expertise in functional genomics to support the development and dissemination of CRISPR technologies, guide and support genome‑editing and screening projects, and collaborate with computational
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offer Embedding within a computational team, with extensive experience in computational biology and
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is to integrate genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at