840 computer-science-programming-languages-"U.S"-"U"-"U.S" Fellowship positions in United Kingdom
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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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Science Program (HFSP) funded project focused on understanding the musculoskeletal system of head-first burrowers (amphisbaenians). The role will lead on the computational simulation aspects of the project
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into and in work, and relevant secondary data, and help produce case studies of supported employment initiatives in the four HDRC areas. You will also work to develop a programme theory and with the research
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at The University of Manchester. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting
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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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set out in the fellowship and in the University of Birmingham’s graduate Programme of study. To contribute to the enhancement of scientific understanding of chronic inflammatory disease mechanisms in
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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