289 coding "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in United Kingdom
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Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics. About Queen Mary At Queen Mary University of London, we believe that a diversity
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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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statistical input within long-standing and high impact research collaborations with the Dementia Research Centre at the Institute of Neurology, UCL. The role also includes teaching of postgraduate students
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UniversityCountryUnited KingdomGeofield Contact City Cranfield, Bedford Website http://www.cranfield.ac.uk/ Street HR and Development Postal Code MK43 0AL STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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About the role The work has a particular focus on quantitative analysis of the national data to estimate mental health needs which are both known and unknown to health services related to mental health for adolescents and their families. The post-holder will conduct analyses of national...
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high-dimensional biological data and applying quantum computing methods to data analysis. Have an active GitHub profile evidencing ongoing code development and contributions. For further information
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antagonists for scientific investigation of the P2Y2 R (Conroy et al., 2018 (https://doi.org/10.1021/acs.jmedchem.8b00139 ); Knight et al., 2024 (https://doi.org/10.1021/acsmedchemlett.4c00211) ). The role
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publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical
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subsequent atmospheric dispersion as well as the consequence of potential ignition of the resulting cloud. The in-house modified OpenFOAM code will be used. Some further development may be required
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and training in generic transferable skills organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk