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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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ensures that the knowledge and technology generated in the department's research environments has a clear anchoring in reality and benefits the surrounding society. We also provide research-based public
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sensed observations to generate new insights into the causes and consequences of biodiversity change in Denmark and Europe. The position provides an exciting opportunity to contribute to internationally
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partners. Provide guidance and mentorship to graduate and undergraduate students working on related research projects. Publish research findings in top-tier conferences and journals in computer science and
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research results in applied MPC Provide guidance and mentorship to graduate and undergraduate students working on related research projects Publish research findings in top-tier conferences and journals in
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within the department and provides a collaborative setting for researchers working across materials chemistry, crystallography, spectroscopy, computation and energy science. The position offers an unusual
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provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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students. We therefore seek candidates with an open, constructive, and collaborative approach The Department of Biology The Department of Biology (http://bio.au.dk/ ) provides a framework for research and
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resources, freshwater ecosystems may provide critical but overlooked resources that support pollinator diversity, resilience and health. This project investigates how freshwater habitats influence pollinator