341 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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for presentations, meetings, or trainings. Physical Activities Ability to work in front of a computer for extended periods of time. Occasionally required to move about the office/campus. This position includes
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) Time Type: Full time Rate Type: Hourly Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of
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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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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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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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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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Preferred Experience, Skills, Training/Education: 1. Ph.D. in Industrial Engineering, Biomedical Engineering, Data Science, Computer Science, or related fields. 2. The candidate is expected to have a strong
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and Knowledge: Experience with synthesis of complex inorganic and materials, structural characterization, and quantitative thermodynamic and thermophysical analysis and process-driven structure–property
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status and have privileges to apply for external grants to expand their research program. The Fellows will have a strong support network and opportunities to build a highly interdisciplinary and