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of a novel condition monitoring system. Responsibilities: Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology. Analyze sensor data from
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. To overcome this challenge, neural architecture search and other ideas within the general field of automated machine learning have been proposed. We seek one or more PhD students(employed as PhD fellow if you
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of novel computer vision methods capable of robustly detecting AUs. Next, the focus will be on novel AI methods for classifying normal vs. pain vs. stress faces. Lastly, head pose detection of horses in
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In line with the commitment to building a theoretical foundation of safe reinforcement learning, we are looking for a highly motivated and talented PhD student to join our team. The position is a
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Professor Mette Simonsen Abildgaard and Postdoc Laura Kocksch in the project’s initial phase. An online information meeting will be held on Wednesday, May 22nd at 4 pm CET to provide potential applicants
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functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full integration of model checking and synthesis with
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environmental and heritable factors in a family tree of over 6 million Danes affect disease risk, to using machine learning on genetic and phenotypic data to define clusters of patients with different disease
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visit our research collaboration partners. • An office for you to focus your research activities. • Computer and other practical office necessities. • Access to well-equipped laboratories. • Guidance
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development opportunities. These include personalized DISC profile assessments with feedback, career-focused courses, and networking events with trade unions, employers, and other relevant parties. Learn more
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examinations, sensory and motor functions analysis, etc. All study programs at Aalborg University involve problem-based learning, organized around cases and projects. For more, see:www.hst.aau.dk As The Faculty