613 data-"https:" "https:" "https:" "https:" "https:" "https:" "KU LEUVEN" Fellowship positions in United Kingdom
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while ensuring strict adherence to trial protocols, ethical standards, and regulatory requirements. A core component of the role will be to work with retrospective data from participants living with
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individual and collaborative research projects Contribute to writing bids for research funding Collect, analyse and interpret data related to the research project Apply knowledge in a way which develops new
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to cutting-edge data from the Euclid mission to derive constraints, in particular, on dark energy and modified gravity models. The work will involve techniques such as differentiable programming and emulation
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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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scientific information in clear, concise, and accurate language that can be understood by scientific audiences and the general public would be an advantage. We would especially be keen to hear from candidates
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data collection and management. Proficiency in statistical analysis (e.g., R, Stata) and/or data management software (e.g., ODK, SQL) is also essential. This appointment will require regular travels
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rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Hold a BSc and/or
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Holloway, University of London is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London. For further information about the post please contact Prof. Phil
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knowledge and experience in mixed methods research, ranging from qualitative, both data collection and analysis and demonstratable quantitative research skills. Experience working with people with lived