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This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive an annual tax-free stipend set at
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of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution. Integration and
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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing
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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days 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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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09447 Requirements Skills/Qualifications Expected skills include Knowledge on distributed, parallel computing and numerical
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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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as well as the entire PhD course and research program are held in English only. There is no need to learn German for these positions.Preferred SkillsBasic Computer Science• Distributed systems (Cloud
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Engineering, Applied Physics, Applied Mathematics, Computer Science/Engineering, Geomatics, or a related field. You have knowledge of distributed, parallel, and high-performance computing suitable for handling