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with unverified systems in terms of development effort, features, and performance. Its missions include the design and implementation of verified inference components, the formalization of GPU kernel
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analysis. Perform analyses in high-performance computing (HPC) and GPU-enabled environments. Collaborate with clinicians, computational scientists, and data scientists in a highly interdisciplinary setting
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( https://theory.rutgers.edu/ ). The successful candidate will develop new GPU -accelerated software for alchemical free energy and new AI-enhanced quantum mechanical force fields built using
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single-mode and multimode semiconductor laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where
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researcher Are you excited to help find and assess the most promising habitable exoplanets around solar-like magnetically active stars? Join us to build next‑generation GPU‑accelerated models of stellar
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quickly and functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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Work Schedule Summary VP Area Academic Affairs Department 00062 - School of Computing Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 63000 to 73000 Close
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Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one of the world’s largest research environments in computational science, with large activities in
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/chemistry Usage of high-performance computing clusters, preferably GPU -based computing Proficiency in statistical analysis and hypothesis testing Strong publication record Our University Community