320 computer-engineering-"https:"-"https:"-"https:"-"C.N.R" Postdoctoral positions in United Kingdom
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Families, Strengthening Communities: Safer Lives (SFSC:SL) parenting programme for the parents of young people at risk of offending or youth violence. The study is an efficacy Randomised Controlled Trial
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, teaching and administration, which means: Collaborative and independent research in organic synthesis: Develop and pursue an original research program focused on new organic reactivity, synthetic methodology
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curiosity, originality and teamwork, and you will be motivated by the opportunity to lead experimental innovation within a world‑class research programme. The University of Leicester is committed to equity
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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clinical trials, and developing personalised models to understand therapy response characteristics. You will contribute to a pioneering tissue-focused research programme aimed at enhancing cure rates
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About the Role We are seeking a highly motivated and talented Postdoctoral Research Associate to join an interdisciplinary research programme investigating cellular and molecular interactions
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is focused of molecular inorganic chemistry, and the successful candidate will contribute to our current programme of investigations focused primarily on mechanistic studies of photoredox catalysis
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Applications are invited for a Postdoctoral Research Assistant in Astrophysics (ERC RedH0T). This project will be part of the ERC Synergy Grant “Red-Teaming the Hubble Tension” (RedH0T). The goal is to determine whether the Hubble tension arises from observational issues or from limitations in...
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start in June 2026, for a period of 3 years. Successful candidates will join thriving research teams within the Institute for Computational Cosmology (ICC) at Durham. The ICC is a leading group in
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects