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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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discharges. Complicating the understanding of these systems is the fact that predicting their evolution requires an understanding of multi-component transport phenomena, multi-phase evolution dynamics, solid
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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, ensuring stable operation even as system dynamics evolve. Recent advances in Modular Multilevel Converter (MMC) topologies, along with developments in battery and supercapacitor technologies, create new
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of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly
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staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental
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Research Assistant Professor – Pajcini lab Posting Close Date: 8/17/2025 Salary Range: The wage for this position is $60,000 - $90,000 Salary is competitive and commensurate with qualifications and
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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characterized by the multidisciplinary background of its staff (criminal law, criminology, sociology, anthropology, public administration, psychology), often adopts an empirical perspective and applies multiple
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative