108 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"O.P"-"U"-"https:" positions at University of Nottingham
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– Nottingham, Derby and Lincoln. The successful candidate will work within a large team and lead on providing an effective and efficient assessments provision for the graduate entry programme. You will plan and
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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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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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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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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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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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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
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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
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related discipline. Good programming skills (e.g., Python, PyTorch, TensorFlow). A genuine interest in pushing the boundaries of efficient and deployable AI. Prior research experience (e.g., project work