16 structures "https:" "https:" "https:" "https:" "https:" "IMT Atlantique" "IMT Atlantique" PhD positions at Linköping University
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, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is mainly externally funded and is carried out in
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consistent and structured mentorship to support your career goals. Applicants with an international background are more than welcome to apply. As a PhD student, you devote most of your time to doctoral studies
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are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is
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design with advanced structural, spectroscopic, and electrochemical characterization methods to unravel how ions, charges, and molecular interactions govern doping efficiency and stability. By exploring
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decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en/article/open-positions
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well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida The position is based at the Division of Statistics and Machine Learning (STIMA). We conduct research
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technology or construction engineering or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge
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to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=28337&rmlang=UK
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collaborations both with industry and other research groups around the world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about working at ISY, please visit
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en