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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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, preclinical molecular imaging scientists. Particular expertise is required in synthetic chemistry to design novel target structures suitable for labelling procedures. The post holder will join the department
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hoursBlank BasisBlank Job category/typeNon-Academic/Support Attachments Blank Job description School of Psychology Part time, 0.5FTE, Fixed term for 7 months Closing Date: 27 August 2025 Interview Date: 02
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United Kingdom Application Deadline 31 Aug 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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About the Role This post is part of a dynamic collaboration between the Centre for Trauma Sciences and the Centre for Translational Bioinformatics. The Centre for Trauma Sciences, is a
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Therapy and Regenerative Medicine acts as a focus for cutting-edge stem cell research taking place across King’s and its partner NHS Trusts, as part of King’s Health Partners. Our research environment is
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are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep
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on aiding the development of precision cut heart slices from pigs to assess the impact of cardio-protective compounds on slices exposed to various conditions. The work forms part of a translational approach
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are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep