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closely related field - Established research program - Compelling plan for future research - The ability to supervise both graduate and undergraduate research - A record of excellence in teaching Job
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of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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the team You will join the Thermal NDE Research Team within the Department of Computer and Information Sciences. The group hosts state‑of‑the‑art IR cameras, induction coils and GPU‑accelerated
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implementations Monitor and improve the numerical and high-performance capabilities of the code Qualifications PhD in computational plasma physics or similar Experience with GPU programming and high-performance
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Intelligence (AI) at the Assistant Professor level, beginning August 16, 2026. Candidates should have an established research program, a compelling plan for future research, the ability to supervise both
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Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description
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learning, etc.) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering-related discipline. Strong programming ability in
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Summary/ Department Summary: Nurse Practitioner or Physician Assistant in Interventional Radiology. *Please note this is a non-procedural role. This position is a flex position which will also cover the GPU
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold