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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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We are seeking a highly motivated Research Associate to work on a Wellcome Trust–funded project using bio‑behavioural and data‑driven approaches to investigate emotion signalling mechanisms in both
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, and computational science while developing a broad skill set. The successful candidate will have, or be close to completion of, a PhD in a discipline closely related to neuroscience. With experience in
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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collaborate with bioinformaticians, experimentalists and clinicians. About You Essential requirements for this post include a PhD in a relevant biological or computational subject and background in
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Arabidopsis. The research project, funded by BBSRC, will investigate the molecular mechanisms underlying the initiation of epigenetic silencing in plant transposable elements. Towards this goal, the study will
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bodies. Applicants will possess a relevant PhD (Physics, Optics, Photonics, Optical Engineering or nearing completion) or possess an equivalent qualification/experience in a related field of study and be