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                Materials, Culture and Heritage (MCH) is the Research Programme within the Department of Archaeology and Heritage Studies, at the Moesgård Campus. We are recruiting a Student Assistant 
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                The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum 
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                , 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. Academic staff 
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                with experimental or computational methods for studying the failure of complex and heterogeneous materials. You have demonstrated the ability to publish in high-quality international journals and to 
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                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 the laboratory, at meetings 
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                identification, and who have significant experience in applying Machine Learning (ML) and Artificial Intelligence (AI) to these areas. Applicants with theoretical, numerical, experimental, or combined research 
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                programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and 
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                , numerical simulation, and experimental methods hold equal weight. Selected candidates will be expected to Create a research program that is innovative and has global significance. Build collaborative efforts 
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                the period of the assistant professorship. Teaching Applicants will be expected to teach and supervise across all levels of degree programmes at DPU, in particular on the Master’s degree programme in ICT-based 
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                large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500