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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental
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start in June 2026, for a period of 3 years. Successful candidates will join thriving research teams within the Institute for Computational Cosmology (ICC) at Durham. The ICC is a leading group in
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About the Role You will drive the development of optical instrumentation that will accelerate the way printed perovskite photovoltaics are analysed and developed. You will design, build, and validate an automated system for in-situ and high‑throughput characterisation. Your work will enable...
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Closing date: 15th January 2026 Background We are seeking applications for a part time research fellow (70%fte) to work on an NIHR Public Health Research Programme funded project for 12 months. The project
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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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systems, behavioural, and computational neuroscientists, supporting career development, mentorship, and opportunities to present research at international conferences. About You PhD in Neuroscience or a
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant
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closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research questions. Work with asset owners will also concentrate on determining
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. You will be proficient in Microsoft Office applications and knowledgeable about laboratory health and safety. The ability to work both independently and collaboratively, managing a varied workload with