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that you will help us to build the sustainable companies and societies of the future. The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering
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build the sustainable companies and societies of the future. The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering two PhD student
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in a biochemical context • Scientific collaboration within and outside the group • Communication of the results You will be given extensive creative space to develop the project, significant resources
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space to develop the project, significant resources to produce cutting edge results, and you will profit from being part of our highly collaborative team, which strives for excellent research. You are
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inherently spatio-temporal, i.e. physical processes around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from
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international experience during their PhD. We offer a PhD student position to explore and develop Machine Learning models evolving over space and time and to make use of these models to understand
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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about the PhD programme is available at: https://www.soclaw.lu.se/sites/soclaw.lu.se/files/2021-06/ASP_rättssociologi_forskarutbildning_20201126.pdf Qualifications Requirements: A master’s degree in
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by the Marie Skłodowska-Curie Actions under Horizon Europe. To read more about the SOCIAL project please see: https://www.soclaw.lu.se/en/index.php/article/sociology-law-department-leads-eu55m-eu
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, funded by the Marie Skłodowska-Curie Actions under the Horizon Europe framework. To read more about the SOCIAL project please see: https://www.soclaw.lu.se/en/index.php/article/sociology-law-department