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related field and have previous academic experience in machine learning. The candidate should have a strong background in metrology and medical image processing. Active participation and collaboration
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the research project This position (DC-1) is focused on examining hybridisation (WP1) in, cultural heritage and tourism based on a digital-physical spectrum; how digital technologies and mediatisation
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on examining hybridisation (WP1) (e.g. the digital-physical spectrum and cultural/institutional hybridisation) for intersectoral collaboration in cultural heritage (e.g. culture, popular culture) and tourism
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Software defines a critical part of our society’s digitalization. Within the Software Engineering and Education (SEE) research group, we expand the research front on processes, methods, and tools
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studies, comprising research (80–100%) as well as teaching and administrative duties (up to 20%). This doctoral project will investigate the physical processes controlling the stability, structural