54 computer "https:" "https:" "https:" "https:" "https:" "UCL" "System Office" positions at VIB
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, plan and implement a 3D camera system for acquiring plant seedlings in the visible spectrum Design and programming of computer vision software to extract plant phenotypic data Catalyze the development of
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in vivo perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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17 Sep 2026 Job Information Organisation/Company VIB Research Field Biological sciences Neurosciences Medical sciences Computer science Technology » Biotechnology Researcher Profile First Stage
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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-scale in vivo perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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models of immune diseases and causal learning to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of experimental immunology
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mouse models of immune diseases and causal learning to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of experimental
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earliest) and September 2027! Our different research groups explore how the brain and nervous system develops, ages and functions in health and disease, in particular neurodegenerative and
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interested in researchers working on the cross-talk between tumors and various components of the tumor microenvironment including (but not limited to) the vasculature, immune and/or nervous system. The
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interested in researchers working on the cross-talk between tumors and the innate and adaptive immune system. Ideally, the candidate will develop innovative reductionist (i.e. 3D tumoroid models