258 computing-"https:"-"https:"-"https:"-"UNIVERSITY-OF-COPENHAGEN" Postdoctoral positions in United Kingdom
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programme and faculty priorities. The successful candidate will hold a PhD within the field of modern Arabic studies. They will be able to demonstrate an upward research trajectory and have experience
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on Digesting Science, co-designing a schools programme with drama practitioners, teachers, children and families affected by Multiple Sclerosis, developing and testing participatory activities, prototypes and
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The INEOS Oxford Institute for Antimicrobial Research (IOI) is recruiting a Postdoctoral Research Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance
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that this project will be a launchpad for additional research questions and Prof. Mosher will support the development of a future independent research program. The University of Oxford is committed to equal
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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LOCATION: The Middle East Studies (MES) Programme at Oxford School of Global and Area Studies (OSGA), 12 Bevington Road, OX2 6LH About the Role: The Oxford School of Global and Area Studies (OSGA
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-clinical research to progress our programme targeting cell senescence towards clinical impact. The University of Dundee enjoys an international reputation for excellence that attracts top-class students and
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We are seeking to appoint a postdoctoral researcher to join our programme on application-specific detector R&D for physics experiments, supported by the UK Science and Technology Facilities Council
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials