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in human-AI interaction to join a research team focussed on studying learning and decision-making in humans and machine learning systems. The Human Information Processing (HIP) Lab is headed by Prof
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of the post. They will have a proven research track record in the general field of biomedical engineering or its applications, in the general area of computer vision, wearable, neuroimaging and machine
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• Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of social and sports clubs • Discounted bus travel and Season Ticket travel loans While
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-qualification research experience. Relevant areas of research include computational chemistry, structural biology/bioinformatics, statistics, machine learning, computer science or mathematics. They will have a
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). This role will primarily support the Royal Academy of Engineering Chair of Clinical Machine Learning, Professor David Clifton, as well as other academic members of the group. The position is permanent and
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and clinical neuroscience. This project involves development of machine learning methods for mapping the relationships between diffusion MRI (dMRI) and phase-sensitive OCT (PS-OCT) in the same tissue
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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning
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Blavatnik School of Government ( https://ewada.ox.ac.uk ). It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in computer science, machine learning, human
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frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is offered as an open-ended
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, computational biology, machine-learning and big-data science. There will be opportunities to develop new models to explain differential responses of T cell populations during homeostasis, inflammation and cancer