46 engineering-computation "https:" "https:" "https:" "https:" Postdoctoral positions in United Kingdom
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, Technology and Operations Department (Job Reference BUSAT1007) - https://jobs.leeds.ac.uk/BUSAT1007 Economics Department (Job Reference BUSEC1017) - https://jobs.leeds.ac.uk/BUSEC1017 International Business
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Location: Central Oxford We are seeking a full-time Postdoctoral Research Assistant to join the Multifunctional Materials & Composites (MMC) Laboratory at the Department of Engineering Science
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We are seeking a full-time Postdoctoral Research Assistant to join the Multifunctional Materials & Composites (MMC) Laboratory at the Department of Engineering Science. The post is funded by
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The opportunity The University of Liverpool is a key partner in a £14 million initiative ( https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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on the extremely timely “TWISST: Terahertz wave induced spin switching technology” project. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic memory-devices
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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hydrogen into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling
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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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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal