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Are you passionate about upgrading housing and building production in Sweden while fostering sustainability, circularity, and resource efficiency? This PhD project aims at investigating how Swedish
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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in Building Technology spans over the areas of wood building technology, steel, concrete, and composite construction, building physics, historical structures, structural health monitoring, life cycle
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gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding
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build the sustainable companies and societies of the future. The Machine Learning Group at Luleå University of Technology is looking for a doctoral student focusing on the next generation of sustainable
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should do it — with high assurance. Our project aims to integrate Linear Temporal Logic (LTL) and the Planning Domain Definition Language (PDDL) to build a more expressive and efficient framework
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conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process Submit your application and supporting documents through the Varbi recruitment system
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aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants
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of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one
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ocean, and an urgent need to inform regulatory bodies about associated environmental risks. The work builds upon methods developed in our previous inter- and transdisciplinary work on shipwreck risk