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About the role The Research Fellow will be part of a 2-year project funded by the NIHR Research Programme for Social Care looking at how homecare supports the food and drink needs of older adults in
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at the University of Birmingham is pleased to offer a Part-Time Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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taking forward an ambitious programme of qualitative community research and engagement based on the principles of co-production. Key features of the role include: Leading on the co-design and co-delivery
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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nationally and internationally. Plan, undertake and/or oversee the statistical analysis of research projects (primarily randomised controlled trials), and contribute to their reporting and dissemination. Lead
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(or conferences) in one or more of the following areas: Quantum machine learning, Quantum algorithms , Quantum information theory or Theoretical Physics Essential criteria: Proficiency in at least one programming
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post has arisen to work for 2 years (in the first instance) on a Programme grant joint between UCL, Insititute of Child Health and University of Newcastle entitled INSTINCT-MBINSTINCT MB. The work in the
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July 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in