307 cloud-computing-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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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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Location: University Park The University of Nottingham are seeking to recruit a highly motivated and enthusiastic computational chemist for a Postdoctoral Research Associate/Fellow post within
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or biology. In this role, you will work closely with Dr. Lynn and other lab members, employing cutting-edge optical imaging tools and computational analyses to determine how spatial and temporal features
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Clinical Education Fellows: MBChB Programme (5 posts for August/September 2026 start, 1 post for February 2027 start). Salary is paid at current clinical salary base rate. As a resident doctor
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laboratory space, including a 200 m2 set of clean room facilities, and we maintain a Tier 2 site as part of the UK contribution to LHC world-wide distributed computing. The School of Physics and Astronomy is
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an outstanding track record of prior achievement and a high degree of preparedness to undertake a novel and ambitious programme of independent research. To apply, you must first secure the agreement of a Durham
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objectives and deadlines To a limited degree, to support the HEU teaching programme, particularly in relation to the Masters programme in Health Economics and Health Policy/Econometrics To support any other
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. The MHLA programme of work aims to strengthen existing children and young people mental research using a team science approach to define the roles needed for an effective mental health research group
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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 Research Fellow to lead the computational chemistry aspects of a BBSRC-funded collaborative project ‘Unlocking GPCR Signalling Bias: A Multiscale Approach to GPR84 and Beyond