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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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October 2026 Sponsor EPSRC and Eli Lilly Pharmaceuticals Supervisors Prof. Mike Waring and Dr. Hannah Stewart Eligibility Criteria We are adopting a contextual admissions process. This means we will
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Award Duration 4 years Sponsor EPSRC and Eli Lilly Pharmaceuticals Supervisors Prof. Mike Waring and Dr. Hannah Stewart Eligibility Criteria We are adopting a contextual admissions process. This means
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Research and Professional Practice Programme, Faculty of Education, seeks to appoint a full-time Research Assistant/Research Associate in Adoption Research, Prevention Science and Quantitative Methods
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is related to clouds, radiation, and atmospheric circulation. Climate models are at the core of our research, in particular models that simulate global weather and climate at kilometer-scale resolution
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reduced maintenance demands which are key for the broader adoption of offshore wind energy. However, several challenges must be addressed, such as the machine's relatively low power density and power factor
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potentially greater variability, scrap steel as feedstock, therefore digital twins are required to offer support in understanding the potential effects on processing and properties, and adopting appropriate