63 phd-computer-artificial-machine-human Fellowship positions at University of Nottingham
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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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are currently performed in our laboratory. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological science. The successful candidate should ideally
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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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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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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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Applicants must have a PhD or equivalent in a relevant subject (or close to completion). Your work will be supported by Dr Simon Bishop and Professor Alex Trautrims at the University of Nottingham. The person
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We are seeking to recruit a highly motivated Research Associate/Fellow to work with our lithium-sulfur battery team. Candidates must have (or almost completed) a PhD in physical chemistry, synthetic
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biomarker relevant metabolic profiles. As part of this study you will also have access to freshly collected samples from human volunteers, on which you will perform similar analyses. This post is full time
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repair robotic systems. Beyond these core research interests, the UTC also has expertise in: the design of special-purpose manufacturing robotics, non-conventional machining processes (especially in
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in adults with cerebral palsy; this project has been funded by NIHR Programme Development Grants. You will conduct a scoping review, recruit and interview participants, analyse qualitative data