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the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments
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Posting Details Position Details Title Postdoctoral Fellow in Stem Biology (Otolaryngology Dept) Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Otolaryngology-Head & Neck
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University of Tennessee Health Science Center | Memphis, Tennessee | United States | about 6 hours ago
Cancer Radiation Biology Research- Assistant/Associate/Full Professor - 24000001BH Description Radiation Resistance of Cancer Stem-like Cell Research Assistant/Associate/Full Professor This position
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Postdoctoral Associate / Senior Postdoctoral Associate Required Qualifications: (as evidenced by attached resume) Ph.D (or foreign equivalent) in Cell Biology, Molecular Biology or a closely related
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synthetic biology. We are a team of chemical and biological engineers, biochemists, molecular biologists, and microbiologists interested in developing biotechnological solutions to address challenges in
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Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and
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the National Institute of Health Research (NIHR) with a remit to support applied health and care research that responds to, and meets, the needs of local populations and local health and care systems. The NIHR
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, funding bodies). The ability to engage with clients in a statistical consulting scenario is essential. The Applied Research Collaboration (ARC) Wessex is an organisation funded by the National Institute
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and Social Sciences to contribute to a recently funded project from the National Institute of Health Research. The project is designed to develop an intervention to support pregnant women and their
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of deep learning, drug design and engineering biology. Your skills and attributes for success: Strong track record in machine learning or statistical learning applied to biology, preferably in protein