308 programming-"https:"-"https:"-"https:"-"BioData" Fellowship positions in United Kingdom
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- VIN UNIVERSITY
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of power and propulsion systems, heat and mass transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine
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are highlighted below: - Cultivated meat: examples include a research program on cell line development, cell engineering, process optimisation, media optimisation, product development and downstream processing, and
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Robert Gordon University (RGU). METASIS is a collaborative research programme advancing next-generation solid oxide steam electrolyser (SOSE) technology for clean hydrogen production. Led by Robert Gordon
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. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces
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on the National Institute for Health Research (NIHR) RESPOND Programme. This was a 5-year project to develop and trial methods for improving responses to deteriorating postoperative patients. The post will
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undertaking a specified range of activities within an established research programme and/or specific research project. Role Summary Work within specified research grants and projects and contribute to writing
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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We are seeking highly motivated post-doctoral researchers of high calibre to join our research program working in the area of electronic textiles. The role is suited to candidates from either
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delivering the qualitative ‘lived experience’ work strand of a study evaluating the early impacts of a city-wide digital inclusion programme on health and digital inequalities. Day to day, your main
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data