358 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in United Kingdom
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at: https://www.campdenbri.co.uk/research/consortium/food-consortium.php The studentship is open to both UK home and overseas students. Applicants are expected to hold first or upper-second class honours
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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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of Interest form at https://forms.office.com/e/jskWZqSQHb Shortlisted candidates will then be invited for an online interview. The successful candidate will be invited to submit a full application
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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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-funded Fees and Bench fees: Bench fees £1500 Information on fees can be found here: https://www.brookes.ac.uk/study/fees/postgraduate-research-fees/ Start Date: September 2026 Project Title: Dietetic Needs
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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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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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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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. 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