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Field
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description Cities depend on sufficient and sufficiently clean water. However, we often lack the data to fully understand the dynamics of contaminants throughout the urban water cycle. Existing sensors
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Challenge: Building self-organizing edge infrastructure that seamlessly adapts across terrestrial, cloud, and satellite networks. Change: Creating autonomous systems that unify edge orchestration
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wide range of markets such as automotive, industrial and aerospace. Our interdisciplinary field of "Microdisplays and Sensors" is engaged in the development and manufacturing of micro-displays and
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identity, behavior, and trajectory. You will extend these models to understand how genetic risk factors alter cell–cell communication networks. Spatial transcriptomics datasets will be used to anchor
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identity, behavior, and trajectory. You will extend these models to understand how genetic risk factors alter cell–cell communication networks. Spatial transcriptomics datasets will be used to anchor
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mechanical stress into useful electrical energy, enabling autonomous sensors and systems in demanding industrial and structural environments. The research will involve a combination of analytical modelling
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imaging systems capable of penetrating fog, dust, and even certain solid materials. These systems will deliver detailed, high-resolution imaging in challenging conditions where conventional optical sensors
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our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors
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faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital