13 operations-management-associate-professor PhD positions at Linköping University in Sweden
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the position. Your workplace The PhD student will work at The Division of Biology at the Department of Physics, Chemistry and Biology (IFM), Linköping University, under the supervision of Assistant Professor
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The Division of Biology at Linköping University invites applications for a four-year PhD to address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how
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) at Linköping University, Norrköping campus. It is a collaborative effort with Lund University. The research will be supervised by Sr. Associate Professor Andrés Glazunov as the main supervisor, with co
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application! We are now looking for a PhD student in Energy Systems for a project on industrial sustainability and digitalization. Your work assignments The industry is facing major challenges related to energy
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. The doctoral candidates will form a strong cohort through participation in seven network-wide events as well as secondments and collaborations, which entail travel to several different EU countries. Your work
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-wide events as well as secondments and collaborations, which entail travel to several different EU countries. Your work assignments The doctoral candidate will investigate new strategies for controlling
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employment https://liu.se/en/work-at-liu/vacancies/27309 Your work assignments The PhD position is part of an interdisciplinary research project called “c/o Glass - making flat glass circular in the built
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application! For contributing to a more sustainable and circular future, and at the same time getting a PhD – consider applying for this position! Your work assignments The PhD position is part of
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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a