391 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Fellowship research jobs in United Kingdom
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model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open research outputs. Support and lead
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and under the mentorship of Prof Andrew French and Dr. Michael Pound, at the Computer Vision Lab, Jubilee Campus, University of Nottingham. Apart from contributing to existing research projects
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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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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
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of Excellence (P-ACE ) EPSRC Cyber Security Research and Networking Environment (CRANE ) The appointment will be made at a level commensurate with your experience. As a Research Fellow, you will hold a PhD (or be
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of Professor Cathy Hill and Dr Mary Steele in close collaboration with the wider DISCA team (www.discasleep.org.uk ). The successful candidate will be primarily responsible for supporting the development of an e
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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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We are seeking to appoint a Research Fellow in Bacterial Evolution to join the UKRI FLF-funded research group of Dr Rachel Wheatley, based in the School of Biological Sciences at Queen's University
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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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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