180 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in Sweden
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Python) and data analysis or machine learning applied to materials science Ability to work in interdisciplinary project or industrial experience About the employment The employment is a temporary position
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on developing biochar as a sustainable feedstock for hard carbon anodes in sodium-ion batteries. In collaboration with Besca AB (https://www.bescacarbon.com/ ), this project explores microwave plasma technology
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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advice and by building a social network in their new hometown. http://www.sdcn.se . Project description The position will be associated with a project on topological phases in moiré materials, focusing
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the form of various single subject courses in the aesthetic field and in Craft Education. The division also participates in the interfaculty collaboration Form, sloyd, practical-aesthetic learning and design
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number: 2261-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=10032&rmlang=UK
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competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
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of application: April 30, 2026 Where to apply Website https://web103.reachmee.com/ext/I003/583/main?site=5&validator=68a0c61034f021ba… Requirements Research FieldHistoryEducation LevelMaster Degree
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. The department conducts undergraduate education and research in political science and peace and conflict studies. For more information, see https://www.umu.se/en/department-of-political-science/ . General
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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