93 structural-engineering "https:" "https:" "https:" "https:" "Universidade do Minho CTAC" Fellowship positions at Nature Careers
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neuroscience, or computational neuroscience. The postdocs would be part of a multidisciplinary neural engineering and behavioral neuroscience team to study neural mechanisms of drug self-administration and
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Flatiron Research Fellow, Structural & Molecular Biophysics and Biomolecular Design, Center for Computational Biology The Center for Computational Biology (CCB) of the Simons Foundation 's Flatiron
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recently launched ambitious research programs aimed at consolidating research in two key thematic areas: health and engineering. One of these programs, SysMics (Towards Systems medicine based on multi-oMics
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of Engineering, and the School of Medicine. Each school features cutting-edge research facilities and extensive research opportunities in key national, provincial, and municipal laboratories. Ph.D. programs
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the fields of synthetic biology, immune cell engineering, protein engineering, and immunology, with an eye towards clinical translation. Postdoctoral fellows will gain extensive experience with cutting-edge
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, multiplex imaging) Model spatial cellular organization, tissue architecture, and microenvironmental interactions Design multi-scale models of tissue structure, function, and disease progression Collaborate
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Research Fellow position is available in the Department of Physiology and Biomedical Engineering. The candidate will join a project aimed at developing a "living pharmacy" platform. This platform is an
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science and technology companies (https://www.norwichresearchpark.com). In 2027, our new state-of-the-art Science Research Laboratories will open, housing six floors of laboratories, workspaces and teaching
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, mission-driven Postdoctoral Fellow to help engineer next-generation immune therapies for pediatric glioma. Our group reverse-engineers multiorgan human biology using iPSC/organoids, microphysiological
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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages