64 phd-in-computer-vision Fellowship positions at University of Nottingham in United-States
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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno
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diverse and interdisciplinary team from recent PhD graduates in human geography or cognate fields. Applicants must have experience of undertaking fieldwork with garment worker communities and must have
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CRISPR-CAS9 gene editing using rodent malaria parasites, cutting edge cell biology, phosphorylation assay and phosphor-proteomics. Candidates must hold a PhD, (awarded or pending) or equivalent in a
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
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members and will be required to travel in the UK and internationally for data collection, co-production and dissemination activities. The candidate will have a PhD (or be nearing completion) in History
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Discover your career The world of the University of Nottingham is defined by our people and the values we share. Our environment is an ambitious vision brought to life across vibrant and forward
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contract initially for 18 months, extendable up to 3 years contingent upon successfully meeting project milestones. What you should have: • PhD (or nearing completion) or equivalent industry experience in
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United Kingdom Application Deadline 10 Sep 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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) funded programme of research into eczema online trials, led in partnership with citizen scientists (Rapid Eczema Trials https://rapideczematrials.org/ ). You will play a senior and significant role in
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We are looking for a motivated research fellow for an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining. The research fellow will take a leading role in an EU-Africa research project,...