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The Center for Sustainable Energy Materials (CENSEMAT) at the Department of Chemistry, Aarhus University, invites applications for a 24-month postdoctoral position in computational materials
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that explain how humans learn, adapt and stabilise navigation behaviour in urban environments. The project will combine methods from transportation science, artificial intelligence, computational neuroscience
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to publications, project reporting and the delivery of the project’s monitoring solution. Qualifications Applicants must hold a PhD in remote sensing, computer science, atmospheric or environmental science
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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Applicants are invited for a PhD Fellowship/Scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Civil and Architectural Engineering programme. The position
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insights with computational and data science methods. Within the IKE group, we value a diversity of methodological approaches, spanning from quantitative analysis of register, survey, and patent data
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demanding PhD programme are interested in engaging in an international research environment What do we offer? Aarhus BSS is part of Aarhus University, an internationally recognised research university with
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, 2026, or as soon as possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience
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programme Wireless Communications; as per January 1, 2027, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact
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are looking for a motivated candidate with the following background, skills, and qualities: • A PhD in computer science or a related field. • Proven experience in machine learning, where experience in