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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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a multidisciplinary profile, with global relevance and specialized expertise on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct
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Gionis. The position is part of the European project ARMADA funded by the Marie-Skłodowska-Curie Doctoral Network. The ARMADA project operates within the fast-growing field of Conversational AI, aiming
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for clean, abundant energy, and the binding targets to reach net-zero emissions by 2050 are among the driving forces for this renaissance of nuclear power. After a long period with no new deployments in
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(ISAC), massive and distributed MIMO at sub-terahertz frequencies, and terahertz communications for satellite networks. The research will focus on the physical layer and media access control layer
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integrate a network of leading academic and industry experts in Sweden and Europe Admission requirements To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance
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. human/economic geography, economics, political science, sociology, planning, urban studies or similar). Strong analytical skills and the ability to take a creative approach to complex problems. Highly
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, distributed across 15 units at Uppsala University and the Swedish University of Agricultural Sciences (SLU). The central hub of this network is Navet, located at the Biomedical Centre (BMC), which serves as a