563 computer-science-programming-languages-"Aarhus-University" PhD positions in United Kingdom
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benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions
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-sequencing, flow cytometry, multiplex immunofluorescence, and standard molecular biology and biochemistry techniques. A computational component may also be available, depending on the skills and preference
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motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing in Wigan as part of Edge Hill University’s Civic Agreement
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2025 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School of Pharmacy. The project will focus on the synthesis of polymers that resist
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives (1
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2025 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School of Pharmacy. The project will focus on the synthesis of polymers that resist
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging