531 parallel-and-distributed-computing-"UNIS"-"Meta"-"Humboldt-Stiftung-Foundation" Fellowship positions in United Kingdom
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable Low
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) section. The role involves working 50/50 across two projects: the NIHR funded Target Trials in Mental Health programme and Eli Lilly funded “Advancing the Methodologies Used to Incorporate Non-randomised
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areas. You will also work to develop a programme theory and with the research team to prepare a future research proposal. You will be working as part of a larger research team, and with HDRC partners in
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assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion As
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the University of Oxford’s Department of Education, is expanding with two exciting opportunities which will help the Centre step up its programme of academic research. The Centre produces research and evidence
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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essential. Candidates are expected to be confident independent researchers, educated at a PhD level. The Research Fellow is also expected to assist with the general programme of work that is conducted in
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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Community Catapult Partner (Darnall Wellbeing in Sheffield) as an embedded researcher, leading and taking forward an ambitious programme of qualitative community research and engagement based
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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you