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work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience
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9 Feb 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Application
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component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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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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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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postdoctoral researchers, and approximately 15 PhD students. Research in the group includes black-hole and neutron-star physics, gravitational-wave source modelling and data analysis, gravitational self-force
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10 Jan 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 29
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. This will be based upon our World leading expertise in the development of Hall thruster technology specifically operating on alternative propellants, as described in other publications (doi: 10.1016
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge