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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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are eligible to apply. This project aims to develop a measurement technology (pressure sensitive paint) to work in an industrial blast range. The technique has been demonstrated at small scales and in University
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solutions for 6G systems. You'll have the chance to work across disciplines on the latest challenges of wireless communication and sensing systems. Whether you have a theoretical background (optimization
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solutions for 6G systems. You'll have the chance to work across disciplines on the latest challenges of wireless communication and sensing systems. Whether you have a theoretical background (optimization
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of Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields of approximation and online algorithms
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Do you want to work at the cutting edge of Aerospace manufacturing technology? Are you interested in Additive Manufacturing? Do you want to work as part of a cross-functional team making aircraft
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Do you want to work at the cutting edge of Aerospace manufacturing technology? Are you interested in Additive Manufacturing? Do you want to work as part of a cross-functional team making aircraft
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the sensed world, be it that current solutions require data diversity, task circumstances, and the label vocabulary all to be pre-defined, stationary and controlled. As soon as these ‘closed world’ deep
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Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7551 Job description We are looking for a motivated PhD candidate interested in conducting research
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Combine your skills in experimentation and modelling to contribute to groundbreaking research. Benefits: Industry Impact: Work