45 high-performance-computing-postdoc Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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the spectrum of fibre laser development, from the development of new fibre core materials, to addressing limits imposed by instabilities, noise and nonlinearities, to high-speed beam and polarisation shaping
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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. The successful candidate will work part time as clinical research fellow supporting Professor Clark in his NIHR funded research programme on rapid diagnostic tests. The University of Southampton, Faculty
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10 Jan 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline
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, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow/Senior Research Fellow to
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help us create high-performance optical components that advance our research goals and commercial partnerships. Who We’re Looking For We seek a talented research fellow with skills and knowledge
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across the spectrum of fibre laser development, from the development of new fibre core materials, to addressing limits imposed by instabilities, noise and nonlinearities, to high-speed beam and
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19 Dec 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
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by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets