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begin August 2026. Candidates must have interest in and/or experience teaching introductory courses including general psychology, introductory research methods and statistics and other introductory
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for scientific discovery; integration of HPC and AI and AI-enhanced numerical methods; explainable and trustworthy AI for STEM applications; and mathematically grounded approaches applied in STEM contexts, such as
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datasets. The ideal candidate will have: ?Formal training and experience in analysis of high-throughput data using statistical or machine learning methods, and strong programming skills. ?Demonstrated
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Your Job: Mixed-valence vanadium oxides express a variety of divergent magnetic, electronic and catalytic properties that make them attractive for numerous applications thanks in large part to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary Purpose of Organizational Unit Morehead Planetarium and Science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary Purpose of Organizational Unit Morehead Planetarium
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Student experience https://www.youtube.com/watch?v=oCXutRm1wc8 Study options Study options PhD: 3 years full-time; 5 years part-time MPhil: 1 year full time; 2 years part-time Also see our online Doctorate
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subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi
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numerous opportunities for understanding fish and fisheries in a changing world. The Sr. Research Associate will be expected to work with NYSDEC fisheries managers and with scientists at Cornell to develop
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equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our