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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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project aims to uncover not only the molecular changes but also to locate therapeutic targets that can be leveraged to develop new treatments that promote healthy aging. These posts are offered on a fixed
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London, https://www.kcl.ac.uk/bmeis , working
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others is essential. This is a full-time, fixed-term post and is available for a period of 12 months starting on or around 1 July 2025 (and no later than 1 September 2025). The application deadline is 19
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of existing medicines by patients and healthcare professionals. About The Role The role will be of post-doctoral research assistant (PDRA) to Drs R John & Sylvia Dobbs, Joint Leads, Host Microbiome Interaction
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potential progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to July 2028 Closing date: 15th August 2025 'Open House' Drop In Session: We will be holding an ‘open house’ drop in
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Reporting to the Project Co-Lead, Professor Beth Greenhough, the post holder will be responsible for carrying out research contributing the social science dimensions of the three-year MRC funded
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About Us Applications are invited for a Post-Doctoral Researcher Associate to work in the laboratory of Professor Malcolm Logan based in the Randall Centre for Cell and Molecular Biophysics
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This position is an externally-funded PDRA position, supporting the NERC project “Developing paper ‘origami’ eDNA sensors for real-time public surveillance of invasive species”. This project is developing an easy-to-use paper-based sensor, to give stakeholders and citizen scientists a tool for...
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to develop and improve current simulation methods (quantum and classical) to study such systems. The overarching aim of the post-doctoral position is to develop and apply computational approaches that enable