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. Such linear actuators are used in high-tech motion systems, for example to allow nanometer-accurate positioning in lithography machines. However, increasing requirements on actuator acceleration and precision
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and behavioural theory of travel choice demand. Discrete choice modelling, integrated modelling, and machine learning methods for travel behavior analysis. Agent based simulation. If you're passionate
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amount of radar sensors per car must increase from one to about ten in the future to allow for full autonomy. This, in turn, demands very cost-effective solutions without compromising on their performance
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stochastic flow networks? Are you excited about an opportunity to teach and supervise students in the area of Applied Probability and Stochastic Operations Research? We offer a PhD-TA position (75% research
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target distribution. Take the examples of a parallel beam of light (source) being focused onto a single point (target) through the action of a parabolic mirror, or rays from a car headlight (source) being
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. The successful candidate should be excited about applying machine learning and automation to chemistry, specifically setting up a workflow based on active learning. Doctoral research will be part of wider and
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brain-inspired computing architectures for advanced machine learning and artificial intelligence applications. Candidate We are seeking highly skilled and motivated PhD candidate to join our research team