220 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions in United Kingdom
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new knowledge on how universal, system-led approaches to physical activity can be designed and implemented to address inequalities, leaving a legacy for Bradford District with learning of national
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experience and knowledge of air transport is beneficial but not essential; determination, curiosity, and a willingness to learn are key attributes we value. Applicants with alternative qualifications, industry
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: engineering, materials science, chemistry, and be willing to learn new disciplines and innovate to achieve the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D
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, you will acquire a unique and valuable set of transferrable skills ranging from designing complex sample environments and experimental protocols, to programming and data mining, effective communication
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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