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deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine which features are relevant? These questions
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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language models. This research will address critical challenges that arise when multiple parties jointly train, fine-tune, or deploy large language models in distributed environments while safeguarding both
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for postdoctoral fellowships in computer science with emphasis on the area of formal methods, in connection with topics that include (but are not limited to) computational complexity, distributed systems, human
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. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic
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the Research Group for Production and Mechatronics: https://mpe.au.dk/om-instituttet/sektioner/manufacturing-and-mechatronics We Offer Access to well-established research infrastructure, laboratories, and shared
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Validation; Data Engineering, Science, and Systems; Distributed Sustainable Software and Systems; Formal Methods for Security and Privacy; Foundations for Interacting and Computing Systems; Human Augmentation
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of Ecoscience leads a citizen science-driven project on seabird mortality in Denmark (https://ecos.au.dk/en/researchconsultancy/themes/supre). As part of this project, volunteers count beached birds and collect