13 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at University of California, Los Angeles
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, computational biology, or related disciplines 2) Ability to work in highly collaborative teams, a strong track record of innovative research contributions, and strong work ethic. 3) Some experience with organic
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, evolutionary biology, geography, or conservation science with expertise in statistics, genomics, demographic modeling, and/or quantitative genetics. • Demonstrated computational and statistical experience
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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar - Biological Chemistry (JPF10836) Postdoctoral Scholar - Biological Chemistry Apply now to Postdoctoral Scholar - Biological
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to which we hold ourselves, and one another. Please read more about this important DGSOM program at https://medschool.ucla.edu/cultural-north-star . Qualifications Basic qualifications A Ph.D. or M.D./Ph.D
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will work on an NIH-funded project developing an ethical framework for participant engagement in long-term implanted brain computer interface trials, have the opportunity to collaborate with neural
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for participant engagement in long-term implanted brain computer interface trials and participate fully in the lab’s activities across campus. This position requires a doctoral-level degree in a relevant field
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. Please read more about this important DGSOM program at https://medschool.ucla.edu/cultural-north-star . Qualifications Basic qualifications A Ph.D. is required. Preferred qualifications Experience in
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qualifications An M.D., Ph.D. or M.D./Ph.D. is required Preferred qualifications Candidates with a background in vascular biology, cell and developmental biology, mouse genetics, fluorescence microscopy and/or
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and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ and how alloimmunity is suppressed in patients receiving donor hematopoietic stem cells. In
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), the scholarship of teaching and learning (SoTL), and interdisciplinary research in the learning sciences. PRST brings together faculty, including Professors of Teaching, TLC staff, and campus partners (including