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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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, or possibly design or cognitive science as main subject) and one at Tema Technology and Social Change, will collaborate to jointly reach the objectives of the project. More specifically the PhD student
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. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
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how developmental dynamics can both open up and restrict evolutionary possibilities, and how this knowledge can help us better understand, predict, and even influence evolutionary change. We approach
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will
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ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS
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development projects. Qualifications You hold a Master’s degree in civil engineering, materials science, or chemistry. You should have basic knowledge related to building materials and especially including
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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to have extensive knowledge in ecology and evolutionary biology, as well as an interest to relate this knowledge to sustainable plant protection. Furthermore, the selected candidate should be capable