104 programming-"the"-"DAAD"-"U"-"Prof"-"UCL"-"IMPRS-ML"-"https:" positions at University of Nottingham
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to carry out the Residential Experience programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need to be flexible and confident and able to work as part of a
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programme; a National Institute for Health and Care Research (NIHR) funded applied research programme running multiple online randomised controlled trials. You will also spend some of your time providing
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About the Role We are looking for an experienced and passionate Widening Participation Manager to play a leading role in delivering the University of Nottingham’s Access and Participation Plan and
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programme that helps students from around the world and locally begin their Nottingham journey. You will also benefit from: Hybrid working arrangements A supportive, inclusive and forward-thinking working
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Digestive Disease Centre. This position will be especially suited to candidates with an interest in providing a professional Executive Assistant service within a dynamic, multifaceted research programme. This
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to plan and conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up work for publication. You will ideally have experience
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For You Personal Tutoring Programme. This role is focused on ensuring we deliver the best possible experience for our students. The purpose of the role is to support the Here for You programme, providing a
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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and coordination, supporting governance and participant recruitment, collaboration to develop resources and coordination of a nation-wide roll out of a train-the-trainer programme. We are seeking
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University