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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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to bear on the energy and security challenges facing our nation and the world. Required Qualifications: PhD in experimental condensed matter physics or related field. Experience in working with van der Waals
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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a PhD or MD-PhD, with expertise in molecular/cellular biology, bioinformatics, biochemistry, or immunology and may have expertise in cell-based and/or animal models. Preference will also be given
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) Contribute to the development of grant proposals. Required Qualifications: Qualifications: PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular Biology, or a related field
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breakthrough or develop a transformative innovation or tool that can form the foundation of an independent research career/program in academia or industry. Required Qualifications: PhD in a quantitative life
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career/program in academia or industry. Required Qualifications: PhD in a relevant field Required Application Materials: CV Brief description of research interests and career goals Stanford is an equal
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(link is external) . Required Qualifications: Doctoral Degree (PhD, MD, or equivalent) conferred by start date. Demonstrated experience/knowledge of floating offshore wind, mooring line dynamics, digital
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Qualifications: A PhD in biology, neuroscience, development, or a related field. At least one first-author publication. Experience with iPS cells is preferred but not mandatory. Required Application Materials: CV