392 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions in United Kingdom
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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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We are recruiting a new fully-funded PhD student to join Dr Daniel Yon’s Uncertainty Lab at the School of Psychological Sciences at Birkbeck, University of London. This post is attached to a recent grant awarded to Dr Yon from the Leverhulme Trust entitled Public Communication and Private...
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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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, or even months to derive a suitable hardware model. This limitation is only exaggerated when considering the digital representation of multicore computer systems, requiring the modelling of a broad range of
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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
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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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project available in the School of Physical Sciences at the Open University can be found here: https://university.open.ac.uk/science/physical-science Closing Date: The application deadline is 22nd January
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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