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techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming
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Master's degree in computer science, computer engineering, or equivalent. Demonstrate proficiency in English (reading, writing, speaking). Show the ability to work independently and in a team, as
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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of
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differential equations. The individual must be able to immediately program in the software SFEMaNS using object-oriented Fortran 2033 and MPI. The individual must be familiar with the linear algebra parallel
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technology. Your main focus will be the improvement and development of solid electrolytes to achieve better (electro)chemical stability with silicon anodes. In parallel, you will investigate strategies
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009437 Salary Range: Compensation for this position will follow the North Carolina Department of Public Instruction salary schedule found here: https
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related field (or equivalent experience). 4 years related experience. Unix skills. Experience with scripting and automation (e.g., R, Bash, Python) Understanding of the principles of computer clusters
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for Quantum Science, with parallel faculty searches in the Chemistry and Electrical and Computer Engineering Departments. UF’s Artificial Intelligence and Informatics Research Institute brings together
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[map ] Subject Areas: Mathematics; Physics; Astrophysics; High Performance Computing; Machine Learning Appl Deadline: 2025/12/15 11:59PM (posted 2025/11/20, updated 2025/11/03, listed until 2026/05/15
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O. Matthieu Dorier , Gabriel Antoniu , Franck Cappello, Marc Snir , Leigh Orf. IEEE Cluster 2012. https://inria.hal.science/hal-00715252