270 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Nottingham
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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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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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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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service standards and KPIs, plan and allocate work effectively, and act as a key escalation point for complex queries. Working collaboratively as part of the HR Shared Services management team, you will
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safety management, including risk assessments, compliance checks, and maintaining accurate technical documentation. Additionally, you will plan and oversee the delivery of CPD programs, liaising with
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running of the undergraduate and postgraduate architecture programmes. The role holder will also supervise and examine Postgraduate Masters and PhD students. Our Department of Architecture and Built
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programmes, teachers’ conferences and student ambassador schemes. You will frequently travel to schools and colleges across the UK, some of which are difficult to get to via public transport; therefore, you
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of the undergraduate and postgraduate architecture programmes. The role holder will also supervise and examine Postgraduate, Masters and PhD students and make a significant contribution to the research culture
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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