52 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Nottingham
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capture data from these; establish new concepts, methods and tools; prepare and deliver publications; participate in the community programme of events; and undertake visits and placements at industry and
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of immigration-related expenses for any dependants accompanying you to the UK. For more information please see the our webpage on Financial support for visas and the immigration health surcharge. Additional
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. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. This is a full time, fixed term position until 30/04/2027. Your working
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rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is
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their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
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identify barriers to early diagnosis. To do this we will use a large United Kingdom general practice dataset, which is linked to cancer records. This contains information on almost 4000 people who have never
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each year. Please check role profile for further information. For informal inquiries, please contact David Bates - david.bates@nottingham.ac.uk . Please note that applications sent directly to this e
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UNM. As a senior member of the ESE leadership team, you will drive improvements in PGT performance, measured through PTES, GOS, recruitment data and TEF outcomes. Deputy PVC Student Experience
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theoretical areas including statistical physics, condensed matter theory, computational physics, quantum information, and machine learning. We seek motivated, skilled and highly independent researchers
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infectious aerosols in buildings (ASHRAE Standard 241). The work involves analysis, simulation, and integration of real-world data into risk models that directly inform how buildings are designed and operated