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across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout
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. You will have; Proven experience with deep learning¿based projects, particularly in machine translation or large language models Excellent coding skills, ideally in Python and/or C++ A relevant
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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relevant PhD or equivalent qualification/experience in a related field of study, and will have experience in the coding and development of RShiny apps. The successful applicant will be a nationally
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This role leads the Dynamics 365 and Power Apps team within IT Services, responsible for the operational delivery, development and continuous improvement of the University’s CRM and low-code
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-code platforms. The post-holder will manage a team of specialist engineers, working closely with colleagues across IT Services and the wider University to ensure Dynamics 365 and Power Platform services
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independently and as part of a multidisciplinary team. You will have: Proven experience with deep learning–based projects, particularly in machine translation or large language models Excellent coding skills
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, contributing to open and reproducible workflows (code, metadata and documentation) in line with project and UKRI expectations. Prepare research outputs including papers, conference presentations and
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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design, interpret results and perform model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open