37 machine-learning-phd positions at Eindhoven University of Technology in Netherlands
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-edge research in the development of novel devices such as field effect, memristor and oscillator which contributes to enabling novel brain-inspired computing architectures for advanced machine learning
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theory Machine learning Optimization and game theory Data-based control PDE control Large-scale and multi-scale systems Knowledge on relevant application domains such as, for example mechatronics, high
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these limits. Main areas of interest are source coding, channel coding, multi-user information theory, security, and machine learning. We typically use information-theoretical frameworks to model the scenarios
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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
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process modeling (physics-based), ii) data-driving modeling (system identification, machine learning), iii) advanced process control and optimization. Demonstrated knowledge of using commercial process