22 environment-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Aalborg University
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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The Department of the Built Environment (BUILD) at Aalborg University invites applications for one PhD position within the field of environmental sustainability assessment of the built environment
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different feedstock compositions and processing conditions influence performance, and to evaluate the ability of the models to serve as robust tools for dynamic recipe design in real production environments
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at the Faculty of Medicine. Who we are The Department of Health Science and Technology (HST) at Aalborg University is an interdisciplinary research and teaching environment where engineering, medicine and health
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. The duration of the position is three years. The Department of Health Science and Technology (HST) at Aalborg University is an interdisciplinary research and teaching environment where engineering, medicine and
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. The Department of Health Science and Technology (HST) at Aalborg University is an interdisciplinary research and teaching environment where engineering, medicine and health sciences come together to improve
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project under supervision • Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD
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• Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD student will be to develop and complete a PhD
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction