572 parallel-computing-"https:" "Simons Foundation" Fellowship positions in United Kingdom
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) Application Deadline 11 Feb 2026 - 23:59 (UTC) Country United Kingdom Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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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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van Schaik, one of the pioneers of the field of Neuromorphic Engineering. ICNS collaborates across the departments of Computer Science and Electrical and Electronic Engineering. The Centre is focused
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Engineering, under the leadership of Professor André van Schaik, one of the pioneers of the field of Neuromorphic Engineering. ICNS collaborates across the departments of Computer Science and Electrical and
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researchers and data scientists. In this project, the postholder will focus on developing and running the IBD cohort studies aligned to this program. This post is full time and fixed term for 1 year with
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coordinate early phase oncology clinical trials. To support the trials programme the postholder will have regular programmed clinical activity and an honorary contract with the OUHFT. This post would be
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programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice
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Division/Team: Department of Computer Science Hours Per Week: Full Time (1 FTE) Closing date (DD/MM/YYYY): 02/02/2026 Contract Duration: 24 Months School/Directorate: School of Engineering About the Role
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United Kingdom Type of Contract Other 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
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong