90 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions at University of Nottingham in United Kingdom
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engineering and have or be in the process of obtaining a related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as
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studies, data analysis including systematic review and meta-analysis, scientific writing (abstracts and academic papers) and preparing grant applications for future studies. You will experience clinical
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the UK and internationally for data collection, co-production and dissemination activities. The candidate will have a PhD (or be nearing completion) in History, Geography, or a related area. Experience of
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develop appropriate frameworks for the practical assessment and management of unowned domestic cat welfare. This will involve information synthesis and framework co-creation with cat care stakeholders
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Other Engineering » Biomedical engineering Engineering » Mechanical engineering Physics
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of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and interdisciplinary team
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Programming Engineering » Aerospace engineering Engineering » Mechanical engineering
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of precision livestock technology data and epigenomic data and communication of results through scientific publications and presentations at conferences. The applicant must have a PhD (or be very close to
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile
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, with the aim of the collective outputs generated to make significant positive impacts for the farming and veterinary communities. The applicant must have a PhD, preferably in veterinary epidemiology