201 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"FEMTO-ST" positions at University of Nottingham
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of experimental modelling challenges and solutions. Advanced programming/data analysis and simulation skills. How to effectively communicate complex and novel research. Opportunities to develop lab demonstration
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across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct policy relevance. Be part of a project that will influence how buildings
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the coordination of the Health and Safety training programme, including booking of rooms, ordering catering and scheduling on the internal short courses’ website Monitoring budgets and raising purchases
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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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Residential Experience Officer. The successful candidate will be required to carry out the Enrichment programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need
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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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enters a sustained period of growth, we are looking for a talented scholar to help strengthen our International Studies Program. This is a position available to start August 2026. Candidates should have a
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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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. In the role you will drive income generation, enhance industry-academic engagement, and support the University's Research & Knowledge Exchange Strategic Delivery Plan. A key part of the role will
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(both theoretical and applied), Microeconomics (applied micro, labor, health, industrial organization, financial economics) or Applied Econometrics (including causal inference, machine learning, program