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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects
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, in which you may work with one or several components, include user-friendly sensor systems for monitoring health data, reliable measurement of health data and data communication in distributed
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perception, localization and mapping for robots in extreme visibility conditions - Source localization and contaminant mapping using multi-sensor fusion. Qualifications To be qualified for the position, you
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data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects for national and international
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strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. The applicant should furthermore
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algorithms, the method can automatically discover both the rules and probabilities needed to model complex graph behaviors, offering a more interpretable and verifiable alternative for future AI systems
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, adapting 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
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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 software
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interdisciplinary research on knowledge extraction from social data. Project description The project is in the emerging area of fair social network analysis. In today’s algorithmically-infused society, data about our