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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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to research‑based teaching, employing innovative methods to enhance student learning. It oversees a graduate program in Population Studies. The center fosters an inspiring academic environment and strives
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-organisational responsibility for health? Research design and methods (indicative) The PhD project has a broad and flexible framing, and the successful candidate will help refine the theoretical and analytical
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intelligence, and research software engineering, and is interested in developing robust, transparent, and sustainable computational tools. Experience with first-principles electronic structure methods, machine
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factors allow it to flourish over long careers. Using unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography
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methods allow robots to articulate these complex social decisions to the humans nearby, providing verbal or visual justifications for its movements that foster a sense of safety and predictability in
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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AI methods to head towards a green transition. This is particularly important for environmental initiatives to achieve the targeted 2050 climate neutral goals of the EU as well as the United Nations
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. For further information please contact Professor Carsten Uhd Nielsen, e-mail: cun@sdu.dk Website: https://www.sdu.dk/da/forskning/farmaci-sektionen/forskere/researcherswithinsection/carsten-uhd-nielsen
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on methods from the other subprojects. It is expected to describe the theoretical, methodological, and analytical approach. Expectations and key responsibilities Motivated applications are invited from