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national (University of Manchester) and international (University of Regensburg, Forschungszentrum Jülich, Free University of Berlin) partners. Successful candidates will hold a PhD in spintronics, magnonics
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, verify, and monitor GenAI systems, with a preference on methods that can provide provable guarantees. You will be expected to have a PhD in computer science or relevant disciplines, with solid background
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engagement in applied health care research and the literature on health inequalities. You should have a PhD degree in relevant areas of Public Health or relevant disciplines e.g. sociology, psychology
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as
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MRI (fMRI), functional Ultrasound Imaging (fUSi) and computational modelling of emotion-related behaviours. This is an exceptional opportunity to develop your research portfolio within a team of
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. Contribute to the preparation of funding applications to external bodies. Skills, Experience & Qualifications needed PhD (awarded or submitted) in an appropriate area. Skills in using game engine technology
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national biodiversity indicators with international impacts. You will have advanced skills and knowledge of statistical analysis, research computing and Geographic Information Systems in relation