292 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Stanford University
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with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
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include all components of the School of Medicine’s faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our
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of this postdoctoral program is to conduct high-quality epidemiological research in the field of urological cancers with a special emphasis on kidney cancer epidemiology (including prevention and screening, control
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Title: Financial Manager 2 Working Title: Director for Finance and Administration VPUE Unit: Bing Overseas Studies Program (BOSP) Location: Hybrid (3 plus days on campus each week) Job Code: 4457 Job
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be distributed as open-source software to ensure reproducibility and transparency as well as supporting the extension of our approach to new domains. Required Qualifications: Doctoral degree Excellent
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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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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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. 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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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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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