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working on cutting edge research. This is an opportunity to drive excellent research in AI applications, which enable greater use of renewable energy into the UK energy systems. Role Summary This is a part
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model checkers; proofs of safety and/or security properties; programming languages and/or type systems; concurrent and/or distributed algorithms; and related topics. The successful applicant will work in
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to 37.5 hours per week (flexible working available) Benefits: 26 days annual leave (pro rata) plus bank holidays, pension contribution, employee assistance program Application Instructions Interested
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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the impact of a large curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across
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Are you a researcher looking for your first challenge? Are you passionate about making computers faster and more reliable? Do you have experience in machine learning applications for software
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(pro rata on a part time basis) Apply by: 22/06/2025 Role Description We welcome applications from passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in