131 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Stanford University
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of submersible, humanoid, robotics. Requirements for the post-doc are a Ph.D. in reef ecology, underwater maritime archaeology, marine science, or combination/experience thereof, as well as dive
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social science, data science, public health/health policy, demography, or statistics. The applicant should have a range of statistical and data skills, including graduate-level knowledge of data management
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required for leadership positions in undergraduate and graduate medical education. This fellowship program has trained surgical residents in education for over fifteen years and has established a track
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related to protein homology modeling, ligand docking and drug design to develop the next generation of safer anesthetics. Specifically, this individual will initially be an integral developer of a large
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. Required Qualifications: The ideal candidate should be highly self-motivated, a creative thinker with a strong background in immunology and/or molecular biology. Candidates should have experience, in or be
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Posted on Fri, 12/13/2024 - 17:07 Important Info Deprecated / Faculty Sponsor (Last, First Name): Davis, Mark Stanford Departments and Centers: Immunity Transplant Infection Microbiology and Immunology Postdoc Appointment Term: 2 years initially, up to 5 years depending on progress. Appointment...
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Posted on Thu, 12/12/2024 - 11:39 Important Info Deprecated / Faculty Sponsor (Last, First Name): Davis, Mark Postdoc Appointment Term: 2 years initially, up to 5 years depending on progress. Appointment Start Date: January 15, 2025 or later Group or Departmental...
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motivated postdoctoral fellow to join our innovative research team. Our lab investigates cellular and molecular mechanisms in vision science using advanced techniques in neuroscience, cell biology
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Qualifications: • Ph.D. in epidemiology, public health, economics, health policy, health services research, or a related field. • Strong quantitative and analytical skills, with proficiency in statistical software
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should have a strong background in cancer biology, molecular biology, biochemistry, immunotherapy/immunology, bioinformatics, and experience working with mammalian cells and mouse models of cancer