288 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at KINGS COLLEGE LONDON
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London and UK Catalysis Hub. The research in Photonics & Nanotechnology Group ( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic
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Date: 19-Jan-2026 Contact Person: Lucy van de Wiel Contact Details: Lucy.vandewiel@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405487/post-doctoral-resea
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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 . There is
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equipment (see also http://www.kcl.ac.uk/ms-facility ). About the Institute of Pharmaceutical Science From molecules to medicine The Institute of Pharmaceutical Science (IPS) is concerned with gaining a
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Rehan, Research Fellow Contact Details: zunera.2.khan@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405332/clinical-research-f… Requirements Additional Information
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activities. The post holder will be appointed in the Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical
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18 Nov 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom
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for Sustainability (King's part of pioneering hub to advance cutting-edge metamaterials | King's College London ). The research in Photonics & Nanotechnology Group (https://www.kcl.ac.uk/research/photonics
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(https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic technologies and of novel nanomaterials to address modern challenges in photonic
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models