117 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Stanford University
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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or Departmental Website: https://woods.stanford.edu/research/climate-and-energy-policy-program (link is external) https://bitsandwatts.stanford.edu/ (link is external) How to Submit Application Materials: Submit by
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given to candidates studying early China using analytical methods such as zooarchaeology, paleobotany, ceramic analysis, and lithic analysis. The successful candidate will be expected to: Teach one course
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willing to learn, CyTOF, sequencing-including NGS and RNA-Seq, and bioinformatics. The candidate must be quick to learn new techniques and be able to modify and adapt standard protocols. The candidate
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full-time postdoctoral fellow (immediately available) in the laboratory of Y. Joyce Liao, M.D. Ph.D. in the Department of Ophthalmology to conduct human vision research, located at Spencer Center
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projects in the immunology of infectious diseases and cancer. There are several funded positions that can start early 2025. Requirements are a Ph.D. in Immunology, publications and a willingness to learn
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. Requirements are a Ph.D. in immunology, publications and a willingness to learn and make use of some of the new methods we have developed, with a particular focus on human immunology and diseases. Required
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research program related to the language, literacy, and culture of African Americans. They should have experience with mixed methods research in the humanistic social science tradition. As a portion of the
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well as the military realm (battlefield trauma, long term space flight, antidotes to chemical weapons, etc.). If interested please feel free to contact Professor Ed Bertaccini at edwardb@stanford.edu (link sends e-mail
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use of cutting-edge informatics to prioritize causal variants for validation using functional genomics, including CRISPR. The overall goals of this work are to define novel disease targets and context