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Sentinel-2) and integrate them with ancillary data including airborne lidar, tree-species maps, and gridded climate fields. Produce spatially explicit climate risk layers, including drought-stress maps by
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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challenges for power supply, energy efficiency, resilience, and grid integration. At the same time, Arctic and sub-Arctic regions are becoming attractive locations for AI data centers due to their naturally
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and energy systems. Large-scale EV charging can overload local power grids. Electric transport systems also depend heavily on electricity supply, meaning power outages or extreme weather events can
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to a future in which we can rely on better robots, autonomous networks, and other smart systems – impacting domains such as healthcare, transportation, and other areas of our society. These systems
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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, and interactions with the electricity grid. This multifaceted gap presents a significant challenge for designing evacuation strategies that remain effective in future electrified transport systems
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powertrains to system-level effects. You will explore questions around infrastructure needs, energy demand, grid impacts, logistics, and policy, and turn them into robust, publishable results and useful
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carry out scientific studies in the area of smart and portable automation. The position will be conducted within the framework of the research profile MARC (Mälardalen Research and Competence Centre
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processing, Electric Power Engineering, Antennas and Optical Networks, and Biomedical engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and