200 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "University of Bristol" Postdoctoral positions in United Kingdom
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. Thirupathaiah Vasantam (Durham University) and Prof. Ayalvadi Ganesh (The University of Bristol, UK). The successful applicant will be based at Durham University but will have opportunities to visit Prof
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in Quantum Networks: Algorithm Design and Analysis", working with Dr. Thirupathaiah Vasantam (Durham University) and Prof. Ayalvadi Ganesh (The University of Bristol, UK). The successful applicant will
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project. The project is part of a large collaborative research effort involving Imperial College London, University of Bristol and three other groups at Cambridge. More information about the overarching
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this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record Experience of conducting research with
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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: https://www.kcl.ac.uk/bmeis/our-departments/digital-twins-for-healthcare https://www.kcl.ac.uk/research/dt4health-cdt About The Role We are seeking a highly motivated postdoctoral researcher to lead the
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welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also
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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke