520 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" Fellowship research jobs in United Kingdom
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) programme. It is also linked to the National Institute for Health and Care Research (NIHR) project ‘Improving primary health care for patients with non-communicable diseases during severe flooding in India
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Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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Research Fellow to lead a programme of quantitative behavioural research to advance understanding of climate-relevant behaviour change and life choices. The role will involve co-designing research with
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part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic
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About the job: This post offers an opportunity to join the €8.07 million MOSAIC programme (Multi-disciplinary Ocean Sensing for Adaptive International Conservation), supported by PEACEPLUS and
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at registrar level and will require a medical qualification. It would be suitable for a trainee with relevant experience in cancer clinical research as out of program experience or for someone wishing to pursue
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We are seeking a highly motivated and talented post-doctoral researcher to join our research programme in metasurfaces. The position is funded by the three-year Leverhulme Trust Research Project
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We are seeking a highly motivated and talented post-doctoral researcher to join our research programme in metasurfaces. The position is funded by the three-year Leverhulme Trust Research Project
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the border counties of Ireland. Funded through the PEACEPLUS Programme and led by Atlantic Technological University in partnership with Ulster University, Queen’s University Belfast and Catalyst
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offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence