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About the role We wish to appoint an experienced post doctoral researcher to work on an exciting new NIHR-funded study, led by Leeds Beckett University aiming to explore and improve learning
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
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the Computational Humanities research group, a vibrant and collaborative team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
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the Department of Chemistry at the University of Cambridge to work on an ERC programme to develop new approaches to template synthesis. The appointee will join a multidisciplinary team of several post-docs and PhD
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for spatially resolved single- and sub-cellular omics, and the Smart Trials Hub, which is pioneering patient-centric sampling and digital health integration. This is a full time post (35 hours per week), and you
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, including quantum field theory, condensed matter physics and/or quantum information theory. Applicants will be expected to have, or be close to completing, a PhD in theoretical or mathematical physics or a
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
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& Post-doctoral Fellow Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742) Applications are invited for appointment as Post
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Kingdom of Great Britain and Northern Ireland [map ] Subject Area: Probability Appl Deadline: 2026/01/04 11:59PM (posted 2025/11/13, listed until 2026/01/04) Position Description: Apply Position Description Post Doctoral Research Associate in