61 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Imperial College London
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level, will be required for the successful candidate. Further information about the DBS disclosure process can be found at: http://www.homeoffice.gov.uk/agencies-public-bodies/dbs / or by telephoning
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partnerships. Imperial is partnering with Erin Hall-Westfall and Joanna Logan of Constellate Global Talent on this search. For more information, please go to https://we.tl/t-HtKtm6iLEo to download
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. Imperial is partnering with Erin Hall-Westfall and Joanna Logan of Constellate Global Talent on this search. For more information, please go to https://we.tl/t-pyzeezjoEd to download the candidate pack
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on this search. For more information, please go to https://we.tl/t-DuKTetZMLp to download the candidate pack. Please contact Constellate on info@weareconstellate.com for further information or a confidential
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the centre of the Strand campus in the heart of central London. For more information: https://www.kcl.ac.uk/engineering The Faculty: The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises
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. Further Information This is a full-time, fixed-term post for 36 months. Expected start date: As soon as possible. For informal enquiries: The successful candidate will be supervised jointly by Dr Qianqian
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supervisors Dr. Andrew Scott (imaging physics), National Heart and Lung Institute/RBH and Professor Denis Doorly (computational modelling), Aeronautics, Imperial. The research will develop our computational
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-harnessing capabilities. The successful candidate will work within the Elani Bioinspired Engineering Group under the supervision of Dr. Yuval Elani . The project aim is to engineer artificial cells that can
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) under the supervision of Dr Elina Spyrou . Summary of Project: Power systems are central to the transition towards net-zero energy systems, and they are transforming in two ways. First, their generation
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group of Dr Andrew Edwards at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and