332 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at University of Nottingham
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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 What next? Further information is available in
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the link to our benefits website What next - Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Your working hours will be
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processing large amounts of information. For students identified by the system as being totally non engaged, you will also be required to work across multiple platforms and systems to check other sources
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University is a signatory of the Technician Commitment. You can not only benefit from this but will be encouraged to be actively involved. What next? Further information is available in the role profile
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the Technician Commitment. You can not only benefit from this but will be encouraged to be actively involved. What next? Further information is available in the role profile. To apply for this vacancy
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industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Contact For further information on this PhD
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
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advice and wellbeing support to students; offering guidance, information and signposting when they are experiencing challenges and difficulties. The Support & Wellbeing Team is a large, multifaceted
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leadership experience, excellent organisational and communication skills, and the confidence to work independently in a complex environment. You will be skilled in planning, problem-solving, data analysis and
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-edge adaptive mesh refinement techniques; a lightweight prediction tool developed upon the simulation data to predict key thermofluidic parameters for the design of high heat flux cooling components