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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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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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at Master’s level in Mathematics, Computer/Data Science, Computational Science and Engineering, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced
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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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Communications. Read more: https://elliit.se/ The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is
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about Norrköping here: https://visit-norrkoping-se.translate.goog/bo-studera-och-etablera?_x_tr_sl=sv&_x_tr_tl=en&_x_tr_hl=sv For more general information on the Swedish academic landscape including some
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en/article/open-positions-at-isy . You will become a key member of a dynamic and ambitious research team across
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18 Dec 2025 Job Information Organisation/Company Linköping University Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 6 Feb
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around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from weather forecasting to cardiovascular medicine