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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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, and familiarity with environmental monitoring equipment such as CTDs, multiparameter sondes, or environmental sensor networks are required. To be considered, all applicants must submit a cover letter
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sensor networks are required. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format
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universities, with access to unique deposition and test facilities and strong international collaboration networks. This position provides the opportunity to contribute directly to the energy transition and to
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are conducted in an international and multidisciplinary environment, bringing together expertise from across Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT
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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 of the future, whilst also setting
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studies in the area of machine learning for wireless communications. Develop and implement machine learning techniques for communication systems, with a strong emphasis on producing high-quality research
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to a future in which we can rely on better robots, autonomous networks, and other smart systems – impacting domains such as healthcare, transportation, and other areas of our society. These systems
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an inspiring research setting at one of Europe’s leading technical universities, with access to unique deposition and test facilities and strong international collaboration networks. This position provides
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to understand how design and planning decisions affect health and wellbeing. Key Responsibilities are to design and test a measurement protocol combining wearable sensors, environmental data, and imagery-based