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dynamo. Project details The successful candidate will combine numerical simulations of existing and new magnetohydrodynamic (MHD) models implemented in our in-house code, with experiments using the Little
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of protein structure and conformationally dynamic systems.* Demonstrated interest in studying conformational free energy landscapes of biomolecules.* Strong programming and coding experience
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competent health and safety advice, reviewing related risk assessments / codes of practice, conducting investigations into significant incidents, overseeing local workplace inspections, ensuring all H&S post
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stock data to identify trends, highlight risks, and recommend improvements to the Store Manager. To adhere to and ensure that the team follow all work rules and codes of practice including: Health
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of robust, open scientific software. This post is fixed term for 3 years You will develop and implement new computational methods and MLIP workflows, contribute to high-quality, maintainable open-source code
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Degree in a relevant discipline (e.g. Neuroscience, Psychology, Computing) Knowledge and awareness of mental health trials Demonstrable interest in developing digital tools Experience with any coding
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publicly available policy documents and datasets Designing and maintaining well-organised datasets that can be queried, analysed, and used in downstream applications Writing clear, reproducible code in R
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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maintaining well-organised datasets that can be queried, analysed, and used in downstream applications Writing clear, reproducible code in R or Python to clean, process, and analyse data Supporting
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code of research conduct and research ethics. The Institute of Mental Health and MindTech are committed to ensuring that the perspectives of those with lived experience are at the heart of everything we