65 Education "https:" "https:" "https:" "https:" "https:" "University of Cambridge" positions
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Neoplasms’ together with Professor George Vassiliou, Cambridge Stem Cell Institute, University of Cambridge, United Kingdom funded by a ‘Molecular Mechanisms Linking Obesity and Cancer (MMLOC)’ grant from
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of Cambridge (UK), Technical University of Denmark, University of Warwick, Nanyang Technological University and Hamburg University of Technology. Please check our personal website (as hyperlinks in our names
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English Language Testing Service Certificate in Advanced English (CAE) or Certificate of Proficiency in English (CPE) from the University of Cambridge PTE Academic – Pearson Test of English Academic The following
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to influence international education policy, drive innovation in assessment, and shape the future of language testing on a global scale. We are Cambridge University Press & Assessment, a world-leading academic
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the University of Sheffield and brings together partner universities including Cambridge, Oxford, Edinburgh, Manchester, Newcastle, Strathclyde, Queen's University Belfast and King's College London, alongside
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universities including Cambridge, Oxford, Edinburgh, Manchester, Newcastle, Strathclyde, Queen's University Belfast and King's College London, alongside the Science and Technology Facilities Council. Industrial
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English (CAE) or Certificate of Proficiency in English (CPE) from the University of Cambridge PTE Academic – Pearson Test of English Academic The following applicants are exempt from the requirements listed
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English Language Testing Service Certificate in Advanced English (CAE) or Certificate of Proficiency in English (CPE) from the University of Cambridge PTE Academic – Pearson Test of English Academic The following
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of Proficiency in English (CPE) from the University of Cambridge PTE Academic – Pearson Test of English Academic The following applicants are exempt from the requirements listed above: Applicants with one year of
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of Cambridge), and Villa lab (UC San Diego/HHMI). You will develop machine learning methods for particle detection, localization, and structural analysis in cryoET data, with two interconnected aims: (1