20 big-data-and-machine-learning-phd Postdoctoral positions at University of London in Uk
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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drug discovery. This is a new group at the University and you will support Professor West in it’s transfer from the University of Sussex. About You You will have a PhD in a relevant area and well
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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postgraduate programmes. The role is mainly student facing and is ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive
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and stroke in Sierra Leone (SL). We will support the Ministry of Health SL by collecting the data necessary to design evidence-based interventions. The role will be responsible for supporting MRC SLASH
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2025 (there is flexibility in the start-date). About You The successful candidate will hold (or be closing to obtaining) a PhD in the Physical or Chemical Sciences (or a related field). They will have a
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that affect our society. You will have a PhD in a scientific discipline with previous experience of extracellular vesicle research, including per-reviewed publications. About the School/Department/Institute
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) and reports and will work as part of a team. About You The candidate will have a PhD or be close to holding a PhD in the musculoskeletal field and expertise in the area of osteoarthritis or cartilage
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve