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will begin immediately thereafter and continue until the positions are filled. For more information, contact Amin Saberi or Itai Ashlagi. Required Qualifications: Candidates must hold a PhD in a relevant
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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine
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immediately and the start date is flexible. The position is initially for one year with possibility of renewal based on performance. Required Qualifications: PhD and/or MD degree conferred prior to start date
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, rigorous, collegial and a great team player Holders of either PhD and/or MD degrees are welcomed to apply Qualified non-US residents/citizens are also welcomed to apply Required Application Materials
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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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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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clinical research. Required Qualifications: A PhD in computational biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell
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availability, and internal equity. Pay Range: $95,000 The Stanford King Center on Global Development’s Postdoctoral Fellows Program offers fellowships to outstanding new PhD recipients who have a demonstrated
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, molecular biology, or bioengineering) PhD and/or MD degree conferred prior to start date Strong background in cellular and molecular immunology Additional experience in cancer models, cell / protein
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative