155 parallel-and-distributed-computing Fellowship research jobs at Harvard University
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complex behaviors in rats using techniques drawn from circuit-driven neuroscience, and computational ethology. The opening is for a postdoctoral fellow with expertise in systems neuroscience, including some
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, scientists, clinicians and artists that work at the intersection of art, cell biology, design, materials science, and computational modeling. Insta: Studio_DBG YouTube: Disease Biophysics Group Website
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of transmembrane signal transduction. Collaboration with team members specializing in molecular biology, computational modeling, and cell biology is encouraged, as is the presentation of research findings in
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to appoint one or more postdoctoral fellows beginning in November/December 2025. We are looking for candidates with interests in the use of atomic cavities and atomic arrays for quantum computing. Candidates
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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project within the scope of the lab’s research focus. In addition to carrying out experimental and computational research, the successful candidate will be expected to apply for fellowship funding
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in