359 developer-"https:"-"https:"-"https:" Postdoctoral research jobs in United Kingdom
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Field
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numerical cosmology. The successful candidate will lead the develop of realistic simulations of a galaxy, lensing, X-ray and CMB secondary observables. This will be built on the backlight simulations, a new
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project “Developing a water tank cleaning system using a non-invasive ultrasonic cleaning submarine”. This role offers the opportunity for hybrid working – some time on campus and some from home. We welcome
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| Environment | Development, which aims to conduct theoretically grounded and empirically informed research at the intersection of population dynamics, environmental change, and resilient development. We
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for developing and running adversarial evaluations; designing and validating mitigation strategies (system-level controls, training-time or post-training defences, and deployment safeguards); publishing results in
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samples and experimental models, with implications for autoimmune and metabolic disorders. As a Postdoctoral Researcher, you will primarily be responsible for the development, design, and execution
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turbines represented using an actuator-line approach, assess the applicability and limitations of reduced-order models in predicting turbine performance, and develop machine-learning surrogate models capable
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collaborate with other technical groups working on the design. The successful candidate will also have opportunity to conduct experiments and machine development activities on the existing accelerators. The key
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computational research, developing and optimising advanced cellular and molecular immunology assays. Techniques will include multi‑parameter (spectral) flow cytometry or mass cytometry, human cell isolation and
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:00 on Monday 23 February 2026. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs and
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specific domain (online and/or in-lab), ideally complemented by research experience in industry and familiarity with experimental data from economics and psychology. You will be confident developing multi