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spectral sensor data. By using absorbance data, you will train models to predict key water quality indicators such as nitrate, nitrite, and dissolved organic carbon in both freshwater and marine environments
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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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neural networks is highly debated at the moment in all areas of deep learning. In this project, you will work on a theoretical framework which will help to better understand these questions in the context
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The position gives a unique opportunity for cutting-edge research in multi-layer network security. The project focuses on enabling resilience, security and reliability of upper-layer network
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real-world impact. We work across domains such as healthcare, automotive, and manufacturing, using multimodal data and foundation models. The team includes PhD students, postdocs, and industry
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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. The group gathers ca. 10 persons (from MSc students to senior faculty staff). In all these areas, we have a broad network of collaborators, both nationally and internationally. Organizationally we are part of
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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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senior researchers, three postdocs and three PhD students. It is embedded in an interdisciplinary environment where we have close collaboration with other research teams at Chalmers such as technology
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researchers, postdocs, and PhD students working toward a sustainable energy future through comprehensive systems modeling and scenario evaluation. Main responsibilities Conduct high-quality research within