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the research group led by Associate Professor Theodora Kontogianni in the Visual Computing Section at DTU Compute. Our research investigates how intelligent systems can perceive, understand, and
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PhD position will be hosted in the Cybersecurity Research Group at the Department of Electronic Systems, in close collaboration with a second PhD in the Sustainable Power Electronics and
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research in an academic environment for a 4 years period in view of a PhD degree. You have a strong background in wireless and mobile networks, as well as machine learning, ideally with exposure to
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-preserving machine learning at a scale. Research group The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine
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analysis, scientific visualization, and machine learning, at undergraduate, advanced, and postgraduate levels. Our research group at the division consists of more than 20 PhD students, senior
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communication theory, networking, information theory, sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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Partnerinserat Übersicht PhD Positions - Max Planck ETH Center for Learning Systems (CLS) 100%, Zurich, fixed-term Drucken In our highly competitive CLS doctoral training program, fellows are co
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. Project description Resource-Efficient On-Device AI/ML for IoT Systems This PhD project investigates resource-efficient multimodal machine learning for intelligent Internet of Things systems. It
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academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 10 hours ago
health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental biology, chemistry, and medicine