386 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD positions in United Kingdom
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flexible, supportive and inclusive team environment at a research-intensive university, where your work is seen and has meaning. Personally tailored training opportunities and the chance to learn and utilise
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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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characterization, computational modelling, or metal forming is advantageous but not essential. Enthusiasm and willingness to learn are more important. You will gain hands-on experience with cutting-edge experimental
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, reinforcement learning for environmental control, explainable AI for autonomous decision-making, multi-objective optimisation, and large language models as human–building interfaces. Robotics and Actuation
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structure would enable you to understand science better at atomic level. You will learn the skills of presenting the results to small and large groups of people via presentations in conferences and meetings
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to national priorities on sustainable agriculture and Net Zero targets. Furthermore, this project will enable the student to acquire skills in data analysis and visualisation, experimental planning, working
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information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk Learn More: Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: www.johncrane.com Become a leader in clean
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 2 months ago
of evidence-based interventions. The chosen candidate will join a strongly multidisciplinary team and learn clinical skills alongside academic skills related to review of the literature, research design, data
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work. The project will involve: Learning how to express software requirements precisely using formal models. Using these specifications to automatically generate test cases for software systems and code
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-benefits of Passivhaus student accommodation LCA result, implications and intercomparisons. Climate resilience in future climate scenarios Lessons learned For more details about the studentship see For