6,367 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be involved in the collaborative HFSP project
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noise. In this position, you will further develop our numerical simulations for outdoor sound propagation. You advance our existing simulation platform to consider atmospheric turbulence effects and make
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4 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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of Houston invites exceptional candidates to join our mission as a postdoctoral associate supporting the CLASS Honors Program. CLASS Honors serves undergraduate students across the humanities, social sciences
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students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination Prepare and submit
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: 278255393 Position: Postdoctoral Research Associate/Program on Science and Global Security Description: Princeton University's Program on Science and Global Security (SGS), based in the School of Public and
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Postdoc position to support international research and capacity-building projects employing elect...
ground-based transient electromagnetic (TEM) methods. The position is part of a Danish Ministry of Foreign Affairs funded project titled “Scaling Up Electromagnetics Surveys for Large-Scale Hydrogeological
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(multiscale, QSP, PBPK, PK-PD).Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data.Perform sensitivity and uncertainty analyses to assess robustness