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platforms, and contribute experimental data to support and validate computational models within the wider ThromboRisk framework. The project will be based at UCL under the supervision of Professor Stavroula
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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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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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. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. This is a full time, fixed term position until 30/04/2027. Your working
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and is available on a part time basis (0.1857 FTE, 6.5 hours per week). The research assistant will be responsible for the design of the online resource based on this data to ensure that the content
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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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modulation of disease-relevant cellular readouts. The postholder will lead major experimental workstreams within the programme, taking responsibility for experimental design, data generation, and integration
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Principal Investigator, Dr Vikki McCall and to Work Package leads, according to project schedule. The Role The Research Assistant role will be supporting co-production, data collection and management
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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