596 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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program, and four PGT programs. We specialise in the relationship between culture, media and the creative industries and as such, foster a highly interdisciplinary teaching and research environment. Our
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biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | 16 days ago
master’s degree in Computer Science, Business Analytics, FinTech, Statistics, or a related discipline. Strong quantitative and programming skills, fluency in English, and excellent communication and
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Job reference: BMH-030502 Salary: £47,389 - £58,225 per annum depending on experience Faculty/Organisational Unit: Biology, Medicine Health Location: Manchester Employment type: Fixed Term Division
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(e.g. molecular biology, bioinformatics, artificial intelligence or statistics), with strong computational skills and experience working with genomic or large-scale biological datasets. Further
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& International Health is seeking to appoint a Research Fellow to the NeoShield Study, a multi-country project designed to reduce neonatal mortality from healthcare-associated infections in Zambia and Malawi
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Postdoctoral Research Associate with an acoustics background to lead the acoustic measurement and analysis components, working closely with biology and modelling colleagues in a vibrant interdisciplinary team
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at the School of Cellular and Molecular Medicine, Biomedical Sciences Building, University of Bristol. The overarching aim of our group’s research programme is to develop a deeper understanding of the immunology
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a commitment to develop the careers of women working in science. The University is committed to ensuring that we sustain a positive working environment for all staff to flourish and achieve. As part
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Associate on this project, you will be at the heart of an ambitious effort to transform how we quantify the drivers of infectious disease transmission, i.e. the drivers of the effective reproduction number