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applications. Applications are sought from across a diverse set of disciplines under the Information Engineering umbrella, including, for example, physics-informed machine learning and AI, computer vision
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and its end-users. You will remain abreast of new developments in data science and data visualisation, in particular the use of machine learning and AI tools, and their application to IDDO’s model. You
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opportunity! Location: Various University Buildings, Oxford Salary: £25,331 per annum Contract type: Apprenticeship (18 months) Why Choose Oxford University? Learn on the Job: Dive into a practical, 18-month
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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are seeking a Research Assistant to join a team working at the intersection of medical imaging and machine learning at the University of Oxford. This is an exciting opportunity to work across disciplines
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research in the field of machine learning applied to deciphering the communication system of sperm whales. The post holder will collaborate with other partners of Project CETI (MIT, Harvard, UC Berkeley) and
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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, and the wider MSc Taught Programmes Team. To be successful in this role, you will need to be highly organised, have previous administrative experience, and demonstrate strong computer skills. A positive
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influence clinical practice. We welcome applications from candidates with following backgrounds: Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and
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childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of social and sports clubs