809 computer-science-intern "https:" "https:" "https:" "https:" "UNIVERSITY OF HELSINKI" Fellowship positions in United Kingdom
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Job id: 142026. Salary: £53,947 - £74,613 per annum including London Weighting Allowance. Posted: 25 March 2026. Closing date: 08 April 2026. Business unit: Dentistry, Oral & Craniofacial Sciences
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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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on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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fellowships accelerate the careers of exceptional postdoctoral researchers by offering advanced training and international, inter‑sectoral, and interdisciplinary mobility. Our approach is strategic and
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Science, Computational Engineering, or a related field. Understanding of, and ability to contribute to broader management /administration processes. Contribute to the planning and organising of the research
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, committed prospective plant and soil modellers to contribute to a multi-partner international project ‘Climate-resilient crops with improved phosphorous efficiency through beneficial fungal interactions
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spectrometry–based proteomic approaches, working closely with bioinformaticians to integrate molecular datasets with clinical metadata using advanced computational and systems biology methods, including