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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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firn- and hydrology modelling. Your work will contribute observations that are essential for evaluating firn- and hydrological models and for understanding ice-sheet-wide change. Your results will be
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biomolecules are a rapidly growing class of next-generation drugs. Specialized analytical tools are needed to characterize these large and increasingly complex biomolecules. Mass spectrometry (MS) is a powerful
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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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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
systems that reveal possible endocrine disrupting effects of chemicals in model organisms, for example, fish and invertebrates. Research project: The objective of the project is to investigate and pre
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or energy-efficient mission execution. Similarly, advanced control algorithms depend on reliable sensor integration and accurate dynamic models of the vehicle and propulsion system. The PhD project will
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and structure of healthy anatomy and detect any 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
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be