275 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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applicant will hold, or be close to completion of, a relevant PhD, together with appropriate research experience in conservation technology and its application to African carnivore ecology and conservation
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effectively within the research programme as outlined in the role description This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 14 April 2026
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studies coding transcripts which may include developing high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including
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disease ethics in global health, significant relevant postdoctoral research experience and sufficient specialist knowledge in the discipline to work effectively within the research programme as outlined in
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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) project with The University of Oxford, the RSPB, and JNCC, funded by The Offshore Wind Evidence and Change programme (OWEC). How to apply You will be asked to submit a CV along with a Supporting Statement
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About the role This role supports a multidisciplinary programme investigating the role of the Maresins, a family of pro-resolving lipid mediators, in early cancer development. You will process
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high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including visualisations/plotting preparing and documenting meetings and
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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Assimilation, you will use advanced data-science technology to improve projections of ice loss from Antarctica, as well as use data-driven techniques to uncover poorly understood ice-sheet physics which will