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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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, computer vision, and AI for science. The exact details of the research project are decided in a dialogue between the doctoral student and the supervisor. The student will be part of the WASP graduate school
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particularly suitable for a PhD education. Fluent oral and written communication skills in English You must meet the requirements for admission to the Faculty's of Natural Sciences doctoral program. PLEASE NOTE
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involvement and the commercialization of research. MERLN’s vision is based on sharing knowledge, infrastructure and ambition. About the Materials-Driven Regeneration program As a PhD candidate in MERLN
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and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks The main
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maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme You must demonstrate previous
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will need to meet the minimum entry requirements for our PhD programme . We welcome applicants from Computer Science, Games Technology, Digital Media, or related disciplines. You should have some of the
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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Laboratory of Organic Electronics can be found here: Laboratory of Organic Electronics - Linköping University The PhD position is funded by the Wallenberg Wood Science Center (WWSC). The long-term vision