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potential progression once in post to £48,149. As this vacancy has limited funding the maximum salary that can be offered is Grade 7, salary £41,671 Full Time, Fixed Term contract up to July 2027 Closing date
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patients with hearing disorders. You will join a collaborative environment where your technical expertise in computer vision will contribute to clinical applications. Our team are now expanding our work
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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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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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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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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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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