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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through
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learning). The project will be carried out in a collaboration between Linköping University (main supervisor: Anders Eklund) and Lund University (co-supervisor: Mikael Nilsson) through an ELLIIT collaborative
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, physical and chemical characterization, use of LSRI facilities, and in vitro evaluation. The project is a collaboration between KTH, RISE, Larodan, and Karolinska Institutet. The position will be shared
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learning with interactive exhibits in public spaces. The PhD student will collaborate closely with visualization researchers, AI-specialists, research engineers, educational scientists, and pedagogues
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cohorts and biobanks from international collaborators. To secure and further develop this important collaboration, we are now recruiting a senior applied researcher with a strong quantitative profile and
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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. The student will collaborate closely with the PI and her research group at Umeå University to investigate the proposed learning approach. The PhD student is expected to produce research outputs relevant
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learning for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees