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Description Job description We are seeking a talented and creative researcher for a challenging and innovative project focused on developing the next generation of algorithms for high-speed super-resolution
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Description Do you have significant experience with algorithms for interval path planning, and are you motivated to bring these closer to the railway industry? Then this position is for you! Job description The
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partners: ASML and DCODIS (a start-up). This is technically challenging applied research with as main outcome a proof-of-concept tool that allows developers to quickly find and fix software errors including
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navigation. Develop control and guidance systems for precision landings on moving platforms. Create algorithms to decode optical communication signals. Conduct real-world test flights to validate system
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transportation systems may include a fleet autonomous cars, vans, and buses. This PhD position within FlexMobility will focus on the underlaying assignment and routing algorithms for real-time operation of
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
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. While the chosen design has a significant effect on the most important aspects of users’ experience, the algorithms, and thus the supply decisions, are based on users’ preferences. This PhD position
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primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll focus on three critical aspects of the problem: sliding motion
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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turning point: decarbonization and independence of foreign fossil fuel are new requirements that drive the development towards a more distributed architecture, stochastic renewable generation units, smart