21 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" research jobs at Imperial College London
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This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction of Dr. Marios
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programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global
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programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global
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programme on the cybersecurity of connected medical devices and systems. The research programme represents a collaboration between the United Kingdom and Singapore and will be based at the newly established
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programme on the cybersecurity of connected medical devices and systems. The research programme represents a collaboration between the United Kingdom and Singapore and will be based at the newly established
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) - At least two letters of reference - InSpire Link Please contact Dr Andrea Mitridate andrea.mitridate@desy.de for any questions or more information. Application Materials Required: Further Info: https
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retention across the Dengue and Zika Immunology and Genomics Multi-Country Network (DeZi Network). DeZi is a new Wellcome Trust-funded programme, delivered with the World Health Organization, national
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of Industrial Control Systems (ICS) and Cyber-Physical Systems (CPS) to cyber-attacks. The post is based in the Department of Computing at Imperial College London. This is a leading department of Computer
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on the role please contact Dr Yunjie Gu yunjie.gu@imperial.ac.uk. To apply, please visit our website: https://www.imperial.ac.uk/jobs/ You will find this vacancy by searching either the position title or job
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The role will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a