444 computational-physics-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Harvard University
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may be renewed for additional years. Basic Qualifications A PhD or equivalent in materials science, applied physics, thermal properties, mechanical engineering or a related area is required. Additional
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promote the development of a laboratory program that will lead to independent funding. The scholar will be awarded salary, lab costs, and related expenses over two years.
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Details Title Postdoctoral Research Fellowships in the Science and Theory of Generative Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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Center for Hellenic Studies at Harvard University: Fellowships Deadline Month: Varies by program Description: The CHS supports pre-doctoral and postdoctoral scholars working on the ancient Greek
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native peoples, or peoples of African, Asian, or Hispanic descent. The fellowship includes the requirement to teach one course per year (ideally in the fall term), to participate in a fellowship program
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pounds), bending, and other physical exertion Ability to stand for extended periods Qualifications Basic Qualifications: Graduate of accredited nursing program Registered Nurse licensed in MA Minimum of 1
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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Financial Services team (policy, practice, best practices). Communicates payroll deadlines and deliverables, including special timelines leading up to holidays, etc. Process payroll reports in accordance with
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral