885 computer-science-intern "https:" "https:" "https:" "https:" positions in United Kingdom
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improve malaria surveillance and control. Given the multidisciplinary nature of the project we welcome applications from candidates who hold a PhD in a range of fields including computer science
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://cureheart.org/) team at the University of Oxford. CureHeart is an Oxford-led international research programme aiming to develop cures for inherited cardiomyopathies using advanced genetic therapies. As
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of Cancer Sciences within the College of MVLS. The appointee will be expected to: - Develop a programme of research under supervision of senior investigators in the School of Cancer Sciences, in a
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the Vienna Institute of Demography (ÖAW) and the Population and Just Societies Programme at IIASA.The department of demography, a sub-unit of the Faculty of Social Sciences, aims at contributing
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of staff and postgraduate students. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Hold a Computing
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will pursue a Foundation Degree in Applied Science (Analytical or Bioscience Pathway). The programme includes structured training, mentoring, and professional development. Successful apprentices may
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the University of Sheffield online application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as
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this highly interdisciplinary team, comprising engineering and medical academics, including device design engineers from Sheffield’s world-leading Advanced Manufacturing Research Centre (https
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of 3 ½ years duration. The PhD studentship project will use state-of-the-art experimental structural biology and computational tools to gain a deeper understanding of the environmentally important
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such as mathematical biology and computer science, as well as in verifying theoretical results by numerical work. For instance, there are a number of stochastic models of epidemics where the course of the