498 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" Fellowship research jobs in United Kingdom
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. For information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . If you are interested in this position, please click Apply Now and
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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development opportunities Provide a platform from which fellows may apply for external funding, such as clinician scientist fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick
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applicant will work mostly within our Technology Assessment Review programme, undertaking research to support National Institute for Health and Care Excellence (NICE) decision making, and in our NIHR Evidence
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delivers a co-produced programme of research that serves two key purposes. It provides an evidence foundation to advance the institution's civic mission while creating meaningful impact where it's needed
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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cross-sector assessment of green steel requirements for the EPSRC IGNITE Sustainable Manufacturing Hub. The postholder will design and coordinate research programmes, oversee a 12month programme of
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer