231 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Nottingham
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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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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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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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equivalent qualifications or relevant experience. Your focus will be on our Education and Student Experience Strategic Delivery Plan , as well as our Access and Participation Plan . You will work alongside our
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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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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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skills, career and gain industry recognised qualifications Employee Assistance Programme and Counselling Service - 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, events and
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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
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Programme and Counselling Service- 24/7 support. - Supplier discounts, travel, and reward schemes. - Staff Networks, and wellbeing activities and state of the art sports facilities. - Uniform provide plus
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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