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We are seeking a highly motivated and skilled Postdoctoral Research Fellow to join a major programme of work evaluating the implementation of the EPICare digital platform across five NHS Trusts
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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outcomes over time using multi-state models, accounting for association amongst processes and across time. The role will involve both theoretical and computational model development, together
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the Edge AI foundation and various industrial partners. We are seeking candidates with a doctoral degree and substantial experience in Persuasive and Edge Computing or related areas. Essential expertise
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Applications are invited for a Research Associate/Fellow, based in the Institute of Mental Health (IMH), to work on the NIHR-funded Lived Experience Narratives in Dementia (LEND) programme. This is
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Now programme at King’s College London and contribute to the development of a first-in-human immune priming platform trial in breast cancer. The post holder will be report into Professor Sheeba Irshad
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universities and industry partners. This position represents a unique opportunity for a motivated researcher to make a significant contribution to cutting-edge research in computational modelling within
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are seeking a highly motivated Research
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United Kingdom Application Deadline 2 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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on sperm function, including motility, acrosome reaction, survival, and viscous penetration assays Analyse and interpret complex experimental datasets using advanced statistical and computational approaches