704 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in United Kingdom
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We are seeking a highly motivated Research Fellow to join the School of Electronics and Computer Science (ECS) at University of Southampton for a two-year position in the area of Personalised
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Term Division/Team: Department of Computer Science Hours Per Week: Full Time Closing date (DD/MM/YYYY): 26/10/2025 Contract Duration: Fixed term until 31 March 2027 School/Directorate: School
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shaping strategy. What you will do: Lead research into metadata-driven health informatics using RO-Crate Investigate validation mechanisms (e.g. SHACL, SPARQL), semantic schemas and provenance profiles
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(R3) Country United Kingdom Application Deadline 16 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Astronautics! We are seeking a talented and motivated Research Fellow to contribute to a fully-funded project focused on advancing the computational analysis and manufacturing of these critical materials. Who
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Programming Engineering » Aerospace engineering Engineering » Mechanical engineering
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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computers”(under the UKRI Guarantee scheme). Topics include: Quantum many-body dynamics Quantum algorithms Quantum-enhanced numerical methods Quantum machine learning Tensor Networks Topological order The
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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of designing or conducting research and research methods. D5 Research experience Dimensions The Multimorbidity PhD Programme for Health Professionals is designed to: Recruit and retain the best aspiring