9 post-doc-in-machine-learning PhD positions at University of Twente (UT) in Netherlands
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, materials science, electrical engineering or similar; You have a fascination for unconventional device concepts and a strong affinity for materials physics and machine/physical learning; You are
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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, Industrial Engineering, or related discipline; Affinity and/or experience with computer programming, statistical learning, and optimization techniques; A good team spirit and feel at home at the intersection
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, electrical engineering, technical medicine, or a related field. You have a solid background in biomedical signal analysis, physiology dynamic system, and machine learning technologies, and preferably have
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, improved product quality, longer machine uptime, shorter lead times, and more resilient supply chains. In doing so, you will provide firms with evidence-based blueprints for sustainable AI implementation
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with leaders in the domain of infrastructure governance and modelling. You will learn to conduct research independently and grow scientifically through collaboration with researchers from Radboud
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) professionals in the field, with a lot of freedom and all the possibilities to learn and acquire skills that will last a lifetime A high degree of responsibility and independence, while collaborating with close
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to apply Website https://www.academictransfer.com/en/jobs/354371/phd-position-ambitions-accelera… Requirements Specific Requirements We are searching for a candidate that: (Shortly acquire) a master’s of
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