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the division of Geoscience and Remote Sensing we conduct research to tackle global environmental problems and to understand processes of the Earth system. We develop sensors, gather and analyse data
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to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. Read more: https://wasp-sweden.org/ . The vision of WASP is excellent research and competence in artificial
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assessment and observations. Advanced sensor technologies and artificial intelligence offer the opportunity for data-driven rehabilitation through predictive analytics. This project is a close collaboration
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successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor
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collaborators About the research project The project focuses on designing and evaluating multimodal foundation models that combine text, images, and sensor data for safety-critical applications. It addresses
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systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research
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energy sources, electric vehicles, industrial IoT, AI, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems
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faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and
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research project Beyond using traditional sensors for temperature, pressure, velocity, acceleration, etc. located outside of the reactor core, using neutron detectors represents an attractive route
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for converting renewable aromatics from biomass into sophisticated chiral polycyclic structures with applications in medicinal chemistry and as molecular sensors. The position lies at the interface of organic