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Transactions on Intelligent Transportation Systems, vol. 24, no. 4, pp. 3660-3677, doi: 10.1109/TITS.2023.3236062). The project focuses on learning a motion model of train operations at the level of vehicles and
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for a closed-loop decision support system that can be verified in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of transparent machine learning
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100%, Zurich, fixed-term The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering invites applications for a Post-doctoral
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novel methods at the intersection of advanced control, optimization, manufacturing science and machine learning, to create the next generation of sustainable automation solutions for modern manufacturing
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properties of deep planetary materials. The successful candidate is expected to perform high-pressure and high-temperature experimental research in collaboration with group members, to teach, and to undertake
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machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In
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communication skills and capacity to work with a diverse group of people Strong background in working with large numbers of protein structures is required Experience in using and developing deep learning methods
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a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and
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navigation control or deep learning optimization for sensor fusion. Highly motivated, self-driven, and shows excellent performance. You have first-rate oral and written English skills and an interest in
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encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected