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the role. Participants from for-profit organisations cannot be funded. Applicants should currently not receive financial support or funding towards any other programme in the UK from any other sources
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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
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) programme and sponsored by Central London Community Health NHS Trust. The study, led by a team based at LSBU, aims to investigate the health and wellbeing of informal (unpaid) carers supporting patients in
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Applications are invited to join the Manufacturing Metrology Team (MMT) and the Quantum Information & Metrology Research Theme (QI&M) at the University of Nottingham to carry out research focused
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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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, 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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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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academic taskforce, the successful applicant will work to advance four objectives: Evaluate and compare different models for accessing and analysing social platforms data, including data donation, web