350 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
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a PhD in Structural Geology or related discipline, including experience of fracture description and statistical analysis methods. The intended start date is April 2026, or as soon as possible
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and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics
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applications from those with research interests in the field of Space Innovation, Technology Governance, Multisensorial Sciences, and Analytical Visualization to join us. We are particularly eager to hear from
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. The post is based in the School of Engineering and Materials Science. About You This Postdoctoral Research Associate Role will join the multidisciplinary research group of Prof Martin Knight, focusing
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the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI from both technical and policy perspectives. The Postdoctoral
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the molecular structural dynamics and embedded chiral information in redox-active polycyclic aromatic hydrocarbons influence the emergence of novel photoluminescent properties. While the majority of objectives
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A National Institute of Health and Care Research (NIHR) Health Technology Assessment funded Postdoctoral Research Associate (PDRA) position is available at the Department of Cardiovascular and
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responsible for high-throughput engineering of phage genomesand high-throughput phenotyping assays. The successful applicant with work closely with Postdoctoral Research Fellows and they will be part of a
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. Candidates are expected to hold a PhD in Structural Geology or related discipline, including experience of fracture description and statistical analysis methods. The intended start date is April 2026, or as
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to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning