844 computer-science-programming-languages-"U" Fellowship positions in United Kingdom
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structured development programme and provision of both formal and 'on-the-job' training. The posts are also open to those who are returning to academia after a career in another sector. Successful applicants
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Dependent type theory is a foundation of mathematics that allows us to mechanise arguments, and is closely related to higher category theory. It serves as that basis of programming languages and
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are the ability to plan and organise work independently and collaboratively; have excellent written English, and communication skills; with excellent problem-solving skills. What we can offer you The University
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demonstrated experience in designing and analysing clinical trials and observational studies. Possess excellent written and verbal communication skills. Be proficient in using statistical programming languages
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about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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Research Hub. Funded by the Higher Education Authority of Ireland, SLSS is an ambitious programme of activity. It brings together two academic institutions (University of Limerick and Queen’s University
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recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts and scientists from
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an exciting opportunity to contribute to the ESRC Education Research Programme . The programme is committed to resetting the terms under which education research, policy and practice interact in the interest
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Contract Type: Fixed Term contract up to December 2026 Role Summary TWICEASGOOD, a five-year programme of research (2022-2026) funded by an ERC Advanced Grant, aims to better understand how