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Field
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7th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in High Performance Computing and Simulation Apply for this job See
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will be employed and tested on actual measurement data as a benchmark. The project will involve mathematical modeling, construction of numerical methods, coding, testing, numerical simulations, and
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network architectures for AI compute clusters utilising optical switching and numerically assess the performance via software simulation tools. Define the system specifications which will be then translated
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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physics, quantum optics, exciton–polaritons, light–matter interaction, numerical simulations, or quantum modelling is meritorious. Willingness to work in an inter-cultural, international, and diverse group
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research institutes from 7 European countries (Belgium, Denmark, Italy, Germany, Slovenia, United Kingdom, Spain) and in the United States of America, including secondments to numerous industrial companies
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representation of the vertical coordinate in numerical ocean models used to simulate ocean currents, temperature, and salinity. These developments will improve the representation of deep-ocean circulation and
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
presents multiple theoretical and practical challenges. Supercomputers currently have the capacity to support the large-scale executions of numerous numerical simulations. This makes it possible to carry out
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discipline. Prior experience in any of the following is a plus but not essential: ultrasound or wave physics, numerical simulation, Python programming, and machine learning frameworks. Most importantly, we
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to new developments. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future