431 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at University of Oxford
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and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and
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Basingstoke ITEC, where you will complete an 18-month training programme leading to the ST0973 Information Communications Technician (Support Technician) Apprenticeship. For this apprenticeship, you will work
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Apprentice Engineering Maintenance Technician. You will be required to complete a three and a half-year training programme that will cover all aspects of the role delivered through in-house training, alongside
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, obtaining external funding to enable development of a new and independent research program. The successful candidate will also assist in the teaching of their subject at the undergraduate and graduate level
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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. The University of Oxford offers a comprehensive range of competitive benefits available to all members of staff designed to support both professional and personal wellbeing (https://hr.admin.ox.ac.uk/staff
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Assistants. About the apprenticeship You will complete a two-year training programme that will cover all aspects of the role and will be delivered through in-house training, as well as day-release or other
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within established research programs. Experience in supporting with the building and using Artificial Intelligence and/machine learning in research or clinical settings, and/or with setting up and managing
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providing a source of support, technical consultancy, and expertise to researchers across the University, particularly focussed on the service delivery and development of the Research File Service (https
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the Netherlands is essential. In doing so, you will publish high-quality scientific papers to advance this exciting field. The Nynke Dekker Lab (https://nynkedekkerlab.web.ox.ac.uk ) is a highly successful single