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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 knowledge from
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on
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of the Biomaterials and Tissues of the Future. You will be one of 17 doctoral students across the entire network, and one of four doctoral candidates based in Uppsala University. The primary objective of this project
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contribute to cutting-edge research aimed at combating implant-associated infections. Objectives: This PhD project aims to optimise infection prophylaxis and management strategies in hip and knee arthroplasty
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-time employment for a duration of 3 years, starting in February 2026. Objective of the project: Menopausal hormone therapy (MHT) is used to treat debilitating menopausal symptoms, which affect up to 70
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reconstruction, and the need to evaluate generated and transmitted data in terms of their relevance and utility for achieving specific objectives. To address these challenges, the project will develop theoretical
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other emerging technologies. Furthermore, besides the traditional communication services new objectives such as integrated sensing (ISAC) and localization are becoming important for 6G. The research will
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technologies. Furthermore, besides the traditional communication services new objectives such as integrated sensing (ISAC) and localization are becoming important for 6G. The research will mainly be theoretical
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the robot to improve over time by 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