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Field
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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
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tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
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Your profile: Preferably a doctoral degree, but MSc are also encouraged to apply Expert knowledge in one or several of the following High Performance Computing GPU computing Array Computing with JAX A
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers
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research in numerical relativity, computational general relativity, or a closely related area of computational physics. Experience with PDE solvers (elliptic and/or hyperbolic), numerical methods, and
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diverse scientific domains, pushing the boundaries of AI to solve some of the most pressing scientific challenges. With access to competitive computational resources, we offer an exciting multidisciplinary
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 12 hours ago
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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, United States of America [map ] Subject Area: Quantum Computing / Quantum Computing Appl Deadline: (posted 2026/01/20 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position Description
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for mechanical, electrical, cooling, and infrastructure systems that underpin Cornell’s computing environment, including High-Performance Computing (HPC) and Graphics Processing Unit (GPU)‑intensive workloads
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral