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increase healthcare access. Further, such technologies can facilitate remote training monitoring and performance enhancement for athletes. Developing accurate, low-cost, comfortable technologies
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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will be expected to work closely with the supervisory team and RACQ to co-develop a research proposal not have had any serious road safety offences in the previous 10 years, or any charges currently
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 26 days ago
culturally stimulating international research environment in the development of satellite instrumentation. Interdisciplinary work in a team of experienced engineers and physicists. Needs-oriented training
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the foundation for the development of a 'space-based early warning system' of a swarm of micro satellites each to individually tag asteroids that could hit the Earth. The post will provide an excellent opportunity
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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The project will work alongside Vishay Intertechnology, which brings together a number of world leaders in power semiconductors and energy conversion to develop solutions for automotive, aerospace
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will be key to ensuring that useful measurements, methods and representations are developed. In particular, the project will support designers to achieve driver and passenger experiences that surpass
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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-bleaching of the fluorescent dyes involved, which ends the experiment prematurely, rendering many biological questions inaccessible. To bypass this limitation, our group has developed DyeCycling/FRET, where