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“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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cell factory development, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc
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University of Denmark, DTU. DTU Nanolab houses a state-of-the-art electron microscopy center. The work carried out at DTU Nanolab spans the range of basic topographical studies to highly sophisticated analysis
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Development/upgrading solid oxide cell test setups for advanced electrochemical characterisation, including development of metal test houses Development of dedicated circuitry and analysis software
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verification and formal verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise students. Optionally contribute to teaching. Required qualifications: Hardware design in a
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), robotics and computing, construction production processes, and life cycle and sustainability analysis (LCA). The successful candidate will be responsible for conducting cutting-edge research in the field
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. We are looking for you if you have a background and interest in programming languages and formal methods --- e.g., has taken courses in program analysis, verification, compiler construction and/or
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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qualifications include experience in one or more of the following areas: Indoor air quality measurements and analysis Synthesis and characterization of smart materials Numerical simulations (e.g., Computational