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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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industrial robotics, industrial IoT, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department
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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
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, 6G communication and wireless sensor networks as well as research and education within life science, health technology, smart electronic sensors and medical systems. The Department of Electrical
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industrial robotics, industrial IoT, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department
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, electric vehicles, industrial IoT, 6G communication, and wireless sensor networks, as well as research and education in Life Science, health technology, smart electronic sensors, and medical systems
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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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investigate physical and chemical properties of nanomaterials and compounds, whether they will be used as coatings for smart windows, for gas sensors, photocatalytic coatings, and spintronics
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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates