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digital chemistry, reducing the timescale of experimental and computational mechanistic studies from years to weeks or days, and so achieving rapid implementation of EAM-catalysed transformations by the end
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local climate patterns of change. The resulting probabilistic information can guide risk assessment of a range of climate scenarios. You will have a PhD or are close to finishing a PhD in a relevant
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reality, software development, biomolecular simulation and data analysis, and the opportunity to collaborate with experiments. This position would suit a researcher who has recently completed a PhD in
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). PhD (awarded or imminent) in Geochemistry or Earth Sciences or equivalent professional qualification/experience. High level analytical chemistry skills and the ability pro-actively and creatively
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novel research on designing, training (with minimal data or self-supervision) and evaluating video understanding models. This will include hands-on research using the latest deep learning approaches
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mongooses in South Africa, combining analysis of long-term data, movement modelling (with CoI Dr Luca Giuggioli, School of Engineering Maths) and field experiments. Start date: 1st August 2025. You will
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for your current career stage. PhD (awarded or imminent) or equivalent in the biomedical sciences. Ability to keep good records of experimental data. Motivated and proactive approach to research, problem
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Simeonidou, which is one of the UK's most renowned Information and Communications Technology (ICT) research centres. You will carry out research, innovation, and performance testing in the area of immersive
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for policy. Experience with AI/machine learning/data science methods. Proven experience of collaborating with relevant non-academic stakeholder partners (e.g. WHO, MSF). Outstanding publication record
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to present and discuss data. This post is for 3 years in the first instance with the potential opportunity to extend. Shortlisted applicants will be encouraged to arrange a visit to tour the laboratory and