208 programming-"St"-"FEMTO-ST"-"University-of-York"-"St" positions at University of Nottingham
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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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university closure days and bank holidays Ongoing support to develop your skills, career and gain industry recognised qualifications Employee Assistance Programme and Counselling Service - 24/7 support
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Deadline 24 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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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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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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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for the above research
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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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) Country United Kingdom Application Deadline 10 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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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