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you an excellent candidate for our faculty. We are now seeking outstanding candidates in all areas below: · Mathematics: Computational and applied mathematics; probability and stochastic analysis; data
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, Topology, Financial Mathematics, Financial Engineering and their related interdisciplinary subjects. Physical Sciences: AI for Science; Optoelectronic Materials, Biomaterials, Meta Materials, Information
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, immune, metabolic) · Brain–computer interfaces and neuroengineering · Health big data analytics; advanced intelligent diagnostics/therapeutics Qualifications · M.D., Ph.D., or equivalent, plus postdoctoral
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quantitative skills and analytical reasoning; A track record of authoring scientific publications; Excellent analysis and data management skills. Preferred Experience with causal inference methods (e.g
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of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record of authoring