115 programming-"https:"-"FEMTO-ST"-"UCL"-"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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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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University Of Nottingham Sport is currently undergoing an ambitious change and investment programme to further support our vision to deliver an outstanding student sporting offer and establish
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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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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