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beyond the PhD in a research or engineering environment focused on large-scale AI. Experience with geometric deep learning, diffusion architectures, or related frameworks (e.g., OpenFold, AlphaFold2/3
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-185058-26 General Description PREP Research Associate This position is part of the National Institute of Standards (NIST
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Expected Start Date: July – Sep 2025 Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with
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. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as systems neuroscience, visual neuroscience, neurophysiology, computational neuroscience, biomedical engineering, psychology, physics, or related
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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented
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applied mathematics, mathematical biology, chemical engineering, biomedical engineering, physics, systems pharmacology, or related quantitative discipline. Strong experience in mathematical modeling and
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-184695-26 General Description PREP Research Associate CHIPS Funded Project. This position is part of the National Institute
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Independently
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leadership in Quantitative Clinical Pharmacology and Pharmacometrics. Quantitative Systems Pharmacology (QSP) Candidate PhD in applied mathematics, mathematical biology, chemical engineering, biomedical