848 computer-science-programming-languages-"U.S"-"U"-"U.S" Fellowship positions in United Kingdom
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an ambitious programme combining collaborative work with health researchers and the development of novel statistical methods to address complex biomedical challenges. About the role The postholder will join the
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skills and knowledge of computer programming such as Unix, Python and R Previous experience with multi-omics and their integration Deep technical understanding of bioinformatics analysis approaches and
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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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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
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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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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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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
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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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or ancestral recombination graphs. You have experience in a high-level programming language. You are interested in developing open-source software for academic and applied work. You are independent, organised
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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