502 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" Fellowship positions in United Kingdom
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Job Description Position Details Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK
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King’s College Cambridge invites applications for two Research Fellowships from scholars in the arts, humanities and social sciences who – whatever their current or previous research – are intrigued
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based in the Social Sciences Building on Manor Road alongside Economics, Criminology, Socio‑Legal Studies and the Social Science Library. What We Offer Working at the University of Oxford offers several
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experience relevant to microbiology and computational biology, specifically 16S rDNA microbiome, metataxonomic and transcriptomic analysis. Experience of computational biology and bioinformatics/programming in
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Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term Research Fellow / Engineer (Insect Protein Chemistry & Functional Beverage Development) As a
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied
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About us We are seeking a Postdoctoral Research Fellow to join the Computational Psychotherapy Lab (cpt-lab.org), led by Dr Isabel Berwian and based in the Department of Clinical, Educational and
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, obtaining external funding to enable development of a new and independent research program. The successful candidate will also assist in the teaching of their subject at the undergraduate and graduate level
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across a range of key sectors in the UK. This post-holder will be working directly with the lead for an embedded programme of impactful social science research (Prof Fern Elsdon-Baker) to develop and
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We wish to appoint an exceptional, motivated and collaborative Research Fellow in Health Economics to join the Evidence Synthesis and Generation research theme of the NIHR Applied Research