882 computer-science-intern "https:" "https:" "https:" "https:" positions in United Kingdom
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the international EDICT consortium (Advancing Equity, Diversity and Inclusion in Clinical Trials) (https://www.edictproject.eu). The candidates will be funded for 3 years as part of the prestigious Marie Skłodowska
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Inspiralis Ltd. (https://www.inspiralis.com ). The student will receive comprehensive support to learn diverse techniques and engage with both national and international laboratories working on RNA
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About us The Division of Biosciences is one of the world’s foremost centres for research and teaching in the biological sciences. We have an outstanding international reputation and a community of
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Role: Research Associate in Digital Health Department: School of Computing, Engineering and Intelligent Systems Grade: 6/7 (£33,020 - £36,654 per annum pro rata) Responsible to: Principal
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, or equivalent qualification, in Business, Marketing, Electrical/Electronic Engineering, Computer Science, Fintech/cyber-security or a related discipline. A minimum of 3 years’ experience working in the Fintech
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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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The School of Natural and Computing Sciences is looking to appoint a full-time staff member at Lecturer level in Computing Science to, initially, teach introductory courses on our launch BSc
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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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, working with Dr. Edmond S. L. Ho. This is an Interdisciplinary project with project partners from different sectors, including Health Informatics Centre (HIC) at the University of Dundee and NHS West of
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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