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systems and cyber-physical environments. The lab includes autonomous robots, ABB robots with interchangeable grippers, distributed control systems, and testbeds for smart grids and real-time simulations
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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investigate physical and chemical properties of nanomaterials and compounds, whether they will be used as coatings for smart windows, for gas sensors, photocatalytic coatings, and spintronics
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, electric vehicles, industrial IoT, 6G communication, and wireless sensor networks, as well as research and education in Life Science, health technology, smart electronic sensors, and medical systems
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was launched in 2024 via the recruitment of 20 academic and 7 industrial PhD students. Over the course of the program, more than 260 doctoral students and 200 postdocs will be part of the graduate school
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-smart, sustainable forestry strategies. This project will investigate how climate and soil food web functional capacity jointly shape tree seedling performance across Sweden’s forests. We will combine a
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creative candidates with a master’s degree and strong analytical skills, who wish to contribute to cutting edge research in this area. The work will be conducted within the SMART 6GSAT multidisciplinary
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a master’s degree and strong analytical skills, who wish to contribute to cutting edge research in this area. The work will be conducted within the SMART 6GSAT multidisciplinary research center and in
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with