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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-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...
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position The lab is looking for a postdoc to further develop agentic pipelines that autonomously manage computational tasks: You oversee dozens of computational biology tasks across biological disciplines
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to identify genetic and genomic features that may convey protection against aging and neurodegeneration. This senior bioinformatics postdoc will be expected to contribute actively to the scientific endeavors in
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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biennial CMB retreat; Support and report on initiatives from our internal communities, including the Postdoc committee, PhD committee, Tech committee, and Eco teams; Maintain the Centers’ relationships with
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gained to improve the sustainability of agriculture and the climate change resilience of crops. We are currently looking for an expert in Computer Vision, Image Analysis and AI to join our team. In
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. The staff is the heart of the facility, and the experts are there to consult, train, and collaborate with users for experimental design, image acquisition and image analysis. We are looking for a motivated
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data-analysis issues. Experience presenting computational results to colleagues from different scientific backgrounds. Desirable, but not required Experience in imaging or spatial omics data
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in