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questions, and we must critically explore the governmental, technical, and ethical challenges that arise from these pressing developments. AIM focuses on generative AI and machine learning for mental health
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critically explore the governmental, technical, and ethical challenges that arise from these pressing developments. AIM focuses on generative AI and machine learning for mental health, with a particular
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programs under the Doctoral school of the Social Sciences and Humanities: -Communication and Psychology: https://www.communication.aau.dk/research/phd-programme -Culture and Learning: https
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areas: formal methods, machine learning. Additional knowledge and experience within the following areas are appreciated: formal verification, deep learning, dynamical systems, control theory. Excellent
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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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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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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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. 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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courses, and networking events with trade unions, employers, and other relevant parties. Learn more about these initiatives at ourCareer Hub . For further information about stipends and salary as