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simulation runtimes. During the PhD programme, a student would be expected to explore and analyse the limitations of possible solutions for parallel simulation of massively multicore computers. During
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studies. These pipelines must be capable of efficiently exploiting different types of parallelism, both at the level of a computing node (CPU and GPU) and at the level of a cluster of PCs. This environment
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4 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de la matière condensée Research Field Physics Chemistry » Computational chemistry Researcher Profile First
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
and relevant work experience. Preferred Education Skills and Experience: Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems
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efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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2 Apr 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Computer science Researcher Profile Established Researcher (R3) Application Deadline 17 Apr 2026
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 3 days ago
3 Apr 2026 Job Information Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA Research Field Computer science » Informatics
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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
. Preferred Education, Knowledge, Skills and Experience Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems, or scientific applications