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others, developing tools to support the creation of the data, and supporting the Math+AI laboratory. We are particularly interested in candidates with experience in Lean or other proof assistant languages
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contributed by others, developing tools to support the creation of the data, and supporting the Math+AI laboratory. We are particularly interested in candidates with experience in Lean or other proof assistant
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Responsibilities: 1. Engage in ongoing and active research. 2. Serve as a teaching assistant for math courses. 3. Participate and contribute in the activities of the GPDE unit and OIST math group. Qualifications
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of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the Python programming
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candidates with a PhD degree in computational biology, AI, computer science, electrical engineering, physics or applied maths, and with a strong aspiration for collaborative research of impact in biology or
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will be considered. For more information about Vanderbilt’s Department of Mathematics, visit: https://as.vanderbilt.edu/math/. ; Qualifications Applicants must hold a PhD in Mathematics, awarded
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Apply now Job no:536540 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Chemistry, Physics, Math Department: Inst. for Fundamental Science Rank: Research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Experience Requirements The candidate should have a PhD degree in physics, engineering, applied math, chemistry, materials science or other related areas. Required Qualifications, Competencies, and Experience
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workshops. Applicants must have completed all requirements for a Ph.D. in a relevant field (e.g. atmospheric science, oceanography, geography, geosciences, statistics, applied math, engineering, computer
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researchers, and internationally. Undertake other duties as assigned by the supervisor. A PhD in glaciology, climate science or a relevant field (eg physics, geology, maths). A good record of, and continuing