186 parallel-and-distributed-computing-"DIFFER" Fellowship positions at Harvard University
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students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding of molecular biology and next
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agreement. Each fellow will work with 1-2 faculty mentors on research projects that cover a broad range of environmental and agricultural economics topics and methods. Faculty mentors for this program will
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antisemitism. The recipient will be affiliated with the Center for Jewish Studies, the Julis-Rabinowitz Program on Jewish and Israeli Law at Harvard Law School, and/or appropriate Programs, Institutes, Centers
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to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health, physical activity, mental illness and substance abuse
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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circuit-driven neuroscience, and computational ethology. The opening is for a postdoctoral fellow with expertise in systems neuroscience, including some of the following: chronic neural recordings in freely
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, processes, material objects, and built environments through which a group endeavors to remember, and often honor, people, happenings, or values of the past. We will seek participants working at different
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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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workforce, and believe that our differences enrich the work environment for all. Basic Qualifications What you’ll Need: Applicants are expected to hold a Ph.D. Ability to work in an independent manner and
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experiments while also taking an active role overall Program strategy and alignment with the sponsor’s contractual requirements. Work closely with a collaborative multi-disciplinary team of scientists