352 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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above and our ‘Find a Supervisor’ page for information on our academic staff and their research interests. For guidance on writing a research proposal, please see: https://www.westminster.ac.uk/study
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project experience is also welcomed. For more information on the entry requirements and fees please visit our website. https://www.kcl.ac.uk/study/postgraduate-research/areas/cancer-and-pharmaceutical
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Fibre reinforced composites have excellent in plane strength and stiffness and are being used in increasing quantities in aerospace, sports, automotive and wind turbine blade industries. However fibre reinforced composites are weak in their through thickness direction. This weakness can result...
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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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. Funding: Full coverage of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students. Find out more about fee status at: https://www.imperial.ac.uk/study/pg/fees-and
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status at: https://www.imperial.ac.uk/study/pg/fees-and-funding/tuition-fees/fee-status/ . Eligibility: Due to the competitive nature of our studentships, candidates will be expected to achieve/have
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will be based at the University of Birmingham and supervised by Professor Russell Beale and Dr Renate Reniers, who bring expertise in the areas of human computer interaction and psychology respectively
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have activity in quantum optics, so