118 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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maintaining an internationally excellent research programme that will have a demonstrable impact on the care and wellbeing of patients. The post provides an excellent opportunity to combine clinical work
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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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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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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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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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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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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