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Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software engineering and technical R&D are at the core of this endeavour. We
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high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel computing. Together with our existing rich dataset, we will inform a soil-plant digital twin, enabling
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | about 1 month ago
an M2 degree (Engineering degree, MRes, or equivalent) in applied mathematics or computational mechanics. The candidate should have experience with numerical methods for PDEs, and should have good
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Position Summary The Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ: https://highz-fic.github.io ), a Department of Energy (DOE), Predictive Science Academic Alliance Program
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hired at BTH will mainly focus on two aspects of neuromorphic computing: Guidelines / frameworks for mapping applications to neuromorphic systems. Efficient training methods of neuromorphic applications
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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interdisciplinary collaborations. Leading-edge platforms including High Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software
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the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing. The activities within the project will benefit from synergies with other
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an engineer who wants to contribute to the high
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations