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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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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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to their environment through sensors, information, and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems, and
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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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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