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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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of the department. You may take part in limited teaching activities, such as giving lectures in relevant courses or supporting project-based learning activities, and you will supervise or co-supervise student
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and behavioural experimentation. Key research tasks include: Developing learning-based behavioural models of navigation, route choice and adaptation; Applying reinforcement learning, probabilistic
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perspective Familiarity with design-based, quantitative, qualitative, or mixed-methods educational research A solid foundation in digital research and/or learning technologies, experience working with
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assessment of applicants is based solely on the material received prior to the application deadline. For further information, see Guidelines for Assessment Committee, Aarhus BSS . Aarhus University’s ambition
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the consequences of actions, and adapt reliably when the physical world changes? The project connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions
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project. Aalborg University applies a problem-based learning (PBL) approach. Documented experience with PBL (such as project supervision, facilitation of group processes, and development of PBL-based
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: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level behaviour for system monitoring, state
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based on microbial biomineralization, design bio-based hydrogel
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industrial partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level