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quantitative imaging, we work towards a multi-scale understanding of how molecular composition and subcellular organisation shape cell function, plasticity and disease. A central biology focus of the lab is
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single-cell genomics, multi-omics integration, or statistical genetics Familiarity with large-scale human datasets (e.g., All of Us, UK Biobank, dbGaP) Experience in autoimmune, immunometabolic
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President, executive leadership team, and campus partners to build and maintain the technical, analytical, and operational infrastructure needed to support high-level fundraising, multi-year campaigns, and
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, interdepartmental Kavli Institute for Cosmology, Cambridge (KICC) at Cambridge University are internationally renowned for a uniquely stimulating and multi-disciplinary research environment. One topic where Cambridge
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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environments. Extensive experience and knowledge in cloud security including security compliance in Azure and AWS, across large-scale or multi-domain environments. Relevant industry certification(s) e.g. CISSP
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About the lab The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes
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within the multi-disciplinary Data Connect team to turn research needs into clear, practical development plans, break down technical and data governance requirements, and keep our data pipelines moving
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and applying tools to understand how implicated genes act in neurons and circuits. We use large-scale, unbiased, systematic approaches in collaborative multidisciplinary research teams
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the position, the candidate must have an internationally recognized track record in synoptic scale dynamic meteorology and in numerical weather prediction methods and/or multi-scale meteorological modeling and