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Skills/Qualifications The PhD candidate should ideally have a background in engineering sciences, material sciences or physical chemistry. A culture in computer science, numerical simulations and data
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of computational electromagnetics. Previous experience in nanofabrication or design of metasurfaces. Apply now via this link, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/ Where to apply
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Extension, Matanuska-Susitna College, Prince William Sound College, and Prince William Sound College - Cordova Extension) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person
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by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Experience in imitation learning and
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mechanics, inert, anisothermal and reactive fluids, to effects related to complementary physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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Assistant Studies program established in 2012, as well as a Doctor of Physical Therapy (DPT) program established in 1998, and Department of Nursing program established in 2021. Principal program faculty
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field modeling of brittle fracture: Part I—Theory and simulations, Journal of the Mechanics and Physics of Solids, Volume 121, 2018, Pages 81-98, https://doi.org/10.1016/j.jmps.2018.07.010. [2] Lamia
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Program Operations Director Requisition ID req35971 Working Title Director of Simulation Position Grade 15 Position Summary We are currently recruiting a Director of Simulation to manage overall
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 12 hours ago
profile # Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field # Background in mathematical surrogate modeling and machine learning # Experience or familiarity