347 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Oxford
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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experience working with 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
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Policy online course, which is FCDO’s flagship learning offer. The course aims to provide learners with a clear understanding of important economics concepts relating to foreign policy, development, and
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, Physical and Life Sciences Division at Oxford may be found at www.medsci.ox.ac.uk/departments and www.mpls.ox.ac.uk/departments https://www.humanities.ox.ac.uk/faculties-and-units-0 and https
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to complete an 18-month training programme that will cover all aspects of the role and will be delivered through in-house training, as well as distance learning methods delivered by Inspiro Learning. You will
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required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https
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demonstrating an understanding of the needs and expectations of young people in an informal learning environment. You will be an organised and confident communicator, able to work independently while also
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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work and personal life - https://hr.admin.ox.ac.uk/staff-benefits Committed to equality and valuing diversity We welcome applications from individuals from all backgrounds, including those under
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teach, supervise, and examine undergraduate and postgraduate students. Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic