113 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Aalborg University
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teaching in such educations is a requirement. The successful candidate will be part of the Neurorehabilitation Engineering and Robotics research group: https://vbn.aau.dk/da/organisations/neurorehabilitation
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Sciences and Humanities and the Department of Architecture, Design and Media Technology at the Technical Faculty of IT & Design. AI:EMBODY focuses on how individuals communicate nonverbally during therapy
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At the Technical Faculty of IT and Design, the Department of Architecture, Design and Media Technology (CREATE) offers a fully funded interdisciplinary PhD stipend within the study program “Media
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at: https://www.math.aau.dk/english. Stipend 2 will be located at the Department of Health Science and Technology, that conducts research that spans biomedical sciences, clinical research, biostatistics
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems. The Center for Classical Communication in the Quantum Era (CLASSIQUE) is a pioneering
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tools and/or environmental science. Relevant educational backgrounds include architecture and/or engineering. Experience with research in integrated design environments, computational design, and
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, or programme development. A strong record of external research funding. Experience in PhD supervision and research mentoring. Teaching experience and engagement in educational development within engineering or
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-supervisor is Assistant Professor Jeanette Falk (jfo@cs.aau.dk), Department of Computer Science. For information on Jeanettes profile, please see: https://vbn.aau.dk/en/persons/jeanette-falk/ https
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engineering program in the world. According to the recent Times Higher Education Impact ranking, Aalborg University ranks 9th in the World for UN SDG Impact. The Department of Mathematical Sciences conducts
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group