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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
approaches include MHD, Vlasov, and hybrid codes run on computers ranging from PCs to massively parallel computers, while analytical work involves linear and nonlinear instability theories. Location: Goddard
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor
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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
for the heliums (3He and 4He) and their mixtures over a temperature range from 10 mK to 300 K and a pressure range of 0 to 30 bar (where these substances are fluid). The project will also have a parallel effort to
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algorithm development and application. Familiarity with common scientific programming languages such as C++. Experience in parallel programming with one or more common parallel programming models, like MPI
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
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massively parallel computing resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence, working with and supervising graduate students. Provide research
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scales through component-based parallelism. The focus of the post-doc position is to design and implement this pipeline -- developing native reasoning for rich combinatorial constraints, creating tools