109 parallel-and-distributed-computing-"UNIS"-"Meta" positions at University of Leicester
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EAP Coordinator (based in Chongqing Medical University, Jinyun campus, Chongqing, and Leicester, UK)
About the role The University of Leicester has partnered with Chongqing Medical University (CQMU) and welcomed its first intake of students in 2020 studying a Bachelor’s programme of Clinical
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spacecraft data—including from MAVEN, Mars Express, Tianwen-1, and the upcoming EscaPADE mission—you will contribute significantly to a globally collaborative programme within the Planetary Science Group and
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About the role The University of Leicester is seeking a highly motivated Research Associate to join the School of Computing and Mathematical Sciences on the MRC-funded SLAIDER-QA project, “Advancing
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About the role We are looking for a skilled Research Software Engineer to join our team at the School of Computing and Mathematical Sciences. This role is part of a UKRI-funded project
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‘Populations’ theme. The successful Grade 8 candidate will be expected to lead on the planning and delivery of the research programme and oversee research governance. About you We seek highly motivated
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DClinPsy Programme and the School in developing and enhancing its reputation. About you Alongside your doctorate in Psychology (eg DClinPsy, PhD), you will have extensive experience of teaching at
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characterisation, as well as computational skills including Linux and programming languages such as Python, Perl or Bash. A solid understanding of aquaculture and fish pathogens is essential, along with knowledge
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Trial Unit to contribute to multidisciplinary research projects, primarily funded by the NIHR Programme Grants for Applied Research (PGfAR) and the NIHR Health Technology Assessment (HTA) programme. You
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century of change. You will build a comprehensive programme of philanthropic funding applications to raise unrestricted and restricted funds from a personal portfolio of prospects - from individuals and
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PhD in Politics, Sociology, Economics, or other relevant Social Science programme. You will have a track record of use of advanced quantitative methods, including time-series cross-sectional and/or