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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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, particularly related to data sharing between actors in the supply chain. This project will study how digital product passports (DPP), and ontology-based platforms for collecting and interpreting such data, can
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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model
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biotechnology solutions based on scientific breakthroughs. www.SweTree.com Spray-induced gene silencing for control of damage agents SIGS (spray-induced gene silencing) is a promising biologically-based
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how digital product passports (DPP), and ontology-based platforms for collecting and interpreting such data, can facilitate data sharing among actors involved in a new circular flow of flat glass
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behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model species, the PhD student selected for this project will investigate unanswered questions on how complex
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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investigating the fundamental response of quick clays using X-ray based experimental methods and fundamental modelling Experience in programming Merits: Understanding of the mechanics of colloid systems
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application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer
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species like birds and bats. Combining PAM with occupancy modeling allows for large-scale ecological studies, assessing both individual species and community responses to environmental changes. In this 4