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About this role and project Optically addressable solid-state electronic spins are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. While spins
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Are you interested in optical sensors and ammonia (NH3) emissions? Then you might want to contribute to the BholdN project where we want to make NH3 emissions visible in biochar treated fields. We
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network of relationships and collaboration with top academia, industry and research centres; • the opportunity to contribute to the Φ-lab strategy and activities. You are encouraged to visit the ESA
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Give robots a human-like sense of touch. Develop integrated sensors and mixed-signal readout ICs for flexible electronic skin, enabling fast, robust and scalable tactile intelligence for advanced
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging from edge sensors and
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research
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for responsible human-robot collaboration. Job description Autonomous robots working in human-centered environments must do more than react to immediate sensor input. They need to be able to estimate uncertainty