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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research consists in the development of artificial intelligence models
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Summary UChicago is part of a mega-National Institutes of Health (NIH) program that aims to be the first comprehensive study to investigate precision nutrition. The goal is to develop algorithms
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and endolysosomal mechanisms; and (3) theoretical and computational neuroscience, including models, algorithms, or theory that probe mechanisms of neural circuit function across levels of biological
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expectation of advising at the PhD level. On the research mission, faculty are expected to develop and maintain a strong research program that contributes to the IS discipline. The chosen candidate will also be
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read by FLUENT. Implement an algorithm in FLUENT to read the data file from CFDWARP and copy data on its inflow boundary. Develop a chemical solver for Argon plasmas. Set-up the domain and boundary
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. Carry out the development, simulation and evaluation of algorithms. Participate in the writing of scientific documents and articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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systems. Examples of research topics include advanced motor control using digital control algorithms (e.g., model-predictive control, adaptive controllers) and their implementation on digital platforms (e.g
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to Computer Science. Mathematical induction; correctness proofs for iterative and recursive algorithms; recurrence equations and their solutions; introduction to automata and formal languages. This course assumes