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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior
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Research Assistant/Associate in the safer management of long-term conditions (LTCs) in disadvantaged
@newcastle.ac.uk) and Professor Sheena Ramsay (sheena.ramsay@newcastle.ac.uk ). Find out more about the Newcastle Patient Safety Research Collaboration here: https://psrc-ncl.nihr.ac.uk/ Find out more about the
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networks (PMID:26655834, PMID:34106209, PMID:39009834 and BioRxiv. https://doi.org/10.64898/2025.12.01.691495). The importance of Arp2/3 complex subunit isoforms is evident from the observation that loss
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maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will
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centres (https://www.dur.ac.uk/business/research/research-centres/) blend leading theoretical perspectives with a strong emphasis on impact and engagement with practice, noted in www.durham.ac.uk/business
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Deadline 5 Feb 2026 - 00:00 (UTC) Country 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
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Postdoctoral Research Associate to join the Research Group of Dr Adam Michalchuk, funded by the US Air Force Office of Scientific Research. The position will be to develop and use computational models to explore
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King’s College London with the NHS from South London and Maudsley NHS Foundation Trust, King’s College Hospital and Guy’s and St Thomas’. RAND Europe rated our work on Substance Abuse Research as leading
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme