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LaBarbera, PhD, within the Department of Pharmaceutical Sciences at the University of Colorado Anschutz Medical Campus. We are seeking a highly motivated scientist with strong expertise in in vivo
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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Regular Job Code 9401 Employee Class Instr Fac/TC and Coord Cmp Add to My Favorite Jobs Email this Job About the Job Position Overview: The University of Minnesota Medical School (UMN) seeks an accomplished
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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/Anders Lien 28th September 2026 Languages English English English PhD Candidate in advanced immune competent liver models Hybrid Technology Hub – Centre of Excellence (HTH CoE), Institute of Basic Medical
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Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply Website https
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Date 15th October 2026 Sponsor British Heart Foundation (https://www.bhf.org.uk/ ) Supervisors Dr Simon Bamforth https://www.ncl.ac.uk/medical-sciences/people/profile/simonbamforth.html Dr Helen Phillips
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Computational Imaging Mass
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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