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Mathjobs.org | about 1 month ago
MathJobs you must also submit it via the University of Copenhagen recruiting system. A link to the Univ of Copenhagen application recruiting system can be found here and will also be mailed to you after
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MathJobs you must also submit it via the University of Copenhagen recruiting system. A link to the Univ of Copenhagen application recruiting system can be found here and will also be mailed to you after
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
, including laboratory design, high-speed imaging, flow visualization, and quantitative data analysis. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, including laboratory design, high-speed imaging, flow visualization, and quantitative data analysis. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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discovery to further human understanding. Faculty on the RTG-MAIS are listed below: * Amy Cochran: Computational psychiatry, data science, and mathematical biology. * Jordan Ellenberg: Arithmetic algebraic
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Mathjobs.org | about 1 month ago
applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior
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applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior
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in Mathematics and Decision Science — Dimitris Giannakis (Mathematics), Peter Mucha (Mathematics), and James Smith (Tuck School of Business) — as well as other interdisciplinary collaboration in data