986 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in United States
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Details Title Research and Design Studio Fellowship Program School Faculty of Arts and Sciences Department/Area Edmond & Lily Safra Center for Ethics Position Description Since its founding in 1986
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leveraging collaborations within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
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genomics to define the influence of inherited genetics on tumor evolution Development and application of new computational methods to jointly analyze germline genetics with multi-modal datasets derived from
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, The Republic of [map ] Subject Area: Computational Sciences Appl Deadline: 2025/10/31 11:59PM (posted 2025/09/30, updated 2025/09/10, listed until 2025/10/31) Position Description: Apply Position Description
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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Institute for Advanced Study [The School of Computational Sciences] The School of Computational Sciences at Korea Institute for Advanced Study (KIAS) invites applicants for the positions at the level of
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(Applied) Mathematics or a closely related discipline, with a strong background in scientific computing and numerical analysis. The postdoctoral fellow will work closely with Dr. Fengyan Li and her research
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine
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molecules [doi.org/10.1021/jacs.2c07572 , doi.org/10.26434/chemrxiv-2023-5kl9x ]. (iii) Developing GPU-accelerated multireference methods to improve the accuracy and robustness of current state-of-the-art