420 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" "St" PhD positions in United Kingdom
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training and development opportunities. The expected start date is flexible but ideally from Autumn 2026. The initial appointment will be for one year, with the possibility of extension based on funding
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to the Lancaster Experimental Economics Lab (LExEL) ESRC NWSSDTP cohort training and interdisciplinary development Fully funded participation in national and international conferences Opportunities for teaching
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expertise computational model development. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. What we can offer you: The opportunity to advance our
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focus on cancer outcomes, real-world evidence, and data-intensive population health research with direct relevance to NHS policy and guideline development. The supervisory team combines clinical and
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team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4
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This post offers a unique career development opportunity to obtain first-hand experience of policy relevant research in Wales. As a Research Apprentice you will: i) Support Welsh Government/Public Services
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principles. The proposed project will investigate the development of TCRs by studying the impact of geometries and microstructures on the hydrodynamics of reactants in chemical and/or catalytic reactions and
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from a vibrant and inclusive doctoral community with excellent facilities, training, and professional development opportunities. Project aims and objectives The project will adopt a co-produced
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall