106 phd-in-computational-mechanics-"Prof"-"Prof" Postdoctoral positions at Stanford University
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Posted on Tue, 08/20/2024 - 12:52 Important Info Faculty Sponsor (Last, First Name): Mackall, Crystal Other Mentor(s) if Applicable: Zinaida Good, PhD Stanford Departments and Centers: Stanford
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external) Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation
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Qualifications: The Stanford Energy Postdoctoral Fellowship is open to individuals who: 1. Will have been awarded their PhD within the last three years. The PhD must be conferred by the start of the award term. 2
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Postdoctoral position in Computational Immunology We are looking for two motivated postdoctoral researchers to work on human macrophage biology in the Department of Pathology at Stanford. Successful candidates
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individual to study mechanisms of DNA double-stranded break (DSB) repair, recombination, and chromosomal translocations. We employ cutting edge functional (epi)genomics and molecular biology approaches
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clinicians at Stanford University as well as other institutions. Required Qualifications: Candidates must have a PhD or MD/PhD with expertise in immunology, cell, molecular, or developmental biology, and past
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Posted on Mon, 11/11/2024 - 12:40 Important Info Faculty Sponsor (Last, First Name): Qiu, Xiaojie Stanford Departments and Centers: Genetics Computer Science Postdoc Appointment Term: Initial 2
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at conferences and publish results in peer-reviewed journals. Support mentorship of junior researchers and/or students. Required Qualifications: PhD in Computational Organic Chemistry or Computational Materials
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. The position is fully funded. Required Qualifications: The successful candidate should be highly motivated and hard working, with outstanding past research success and publication history, with an MD, PhD or MD
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance