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analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM
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. • Collaborate with mathematical modelers and experimentalists in the NIH Center to iteratively refine learned models. Qualifications: • Ph.D. in applied mathematics, computational science, statistics, machine
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, United States of America [map ] Appl Deadline: 2025/11/15 11:59PM (posted 2025/09/02, listed until 2026/04/05) Position Description: Apply Position Description The Department of Mathematics, College of Arts and Sciences
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NSF-Simons National Institute for Theory and Mathematics in Biology | United States | about 12 hours ago
research and inspiring new mathematical discoveries. This opportunity is open to researchers who want to develop mathematical, theoretical, and computational approaches to study any area of biology. NITMB
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of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing
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The School of Mathematics, located in the heart of the University of Minnesota's College of Science and Engineering, features over sixty faculty and more than 120 graduate students engaged in world-class
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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of Mathematical Sciences at Carnegie Mellon University invites applications for a two-year postdoctoral position to begin on September 1, 2026. The position is focused on applied analysis and related areas
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mathematics, biomedical engineering, population genetics, ecology, computational biology etc. Strong numerical programming skills in Python, Matlab and/or R. PREFERRED QUALIFICATIONS: Experience with C++ coding
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of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing