319 computing-"https:"-"IDAEA-CSIC"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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- DURHAM UNIVERSITY
- Daphne Jackson Trust;
- Imperial College London;
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
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- The Francis Crick Institute;
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- University of Stirling;
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- University of the Arts London
- Wellcome
- York St John University
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Field
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diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility
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hold a MSc qualification (or equivalent) in a relevant discipline such as epidemiology, statistics, public health, health informatics, data science or demography, alongside a doctoral degree or
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex data, including through computational and statistical tools as needed, interpreting
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, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in
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. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying
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: Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and
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the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader
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microscopy, spectroscopy, or related areas to contribute to a high-impact project with clear relevance to minimally invasive dentistry. Role Summary The wider programme funded by EPSRC (“Elucidating