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of Health Science and Technology, Aalborg University. The main supervisor will be tenure-track Assistant Professor Fenfen Ge. The PhD student will also have the opportunity to work closely with co-supervisors
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the project objectives. Other relevant documents The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University's website
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constructively to joint research objectives while being able to work independently on the PhD project. The candidate has a clear interest in environmental sustainability assessment, life cycle assessment (LCA
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of references), a time schedule and how the applicant intends to shed light on the project objectives. Other relevant documents The application must be submitted via Aalborg University’s recruitment system, which
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-principles physical knowledge with data-driven learning to enable continuous, autonomous system oversight. Research objectives The project pursues two interconnected research directions: Continuous
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of autonomous mobile robots in dynamic human environments. The central objective is to enable robots to anticipate, interpret, and respond to human movement and interactions, thereby improving both safety and
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, tracking, and analysing infectious diseases. A central aim is to reduce technical barriers to pathogen genomic analysis, particularly for users and institutions in low- and middle-income countries. The PhD
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to shed light on the project objectives. Other relevant documents The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg
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ecological footprint reduction, and economic viability into consideration, when developing the solutions. This project aims to achieve these objectives by applying digital technologies, such as AI, robot, and
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(RHET-AI), Tübingen (Germany), 4 months Leibniz Institute for the German Language (IDS), Mannheim (Germany), 1 month Objectives: Despite major advances in GenAI, stereotyping and biases are ubiquitous in