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2025 Background To create and contribute to the creation of knowledge in the area of photoacoustic imaging using Fabry-Perot ultrasound sensors, by undertaking a specified range of activities within
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tools that interpret large datasets from distributed sensor networks to predict and improve indoor environmental quality. Essential Functions Develop and refine AI- and machine learning–based models
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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seminars, to collaborate across innovations areas within the centre, and to seek collaboration between the research partners within the centre. You will be part of a network of young researchers in deep
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in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in-computer-science/ ). The research programme in
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mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation. Experience of test
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innovation program. Our lab fosters an environment that provides the direct mentorship and networking opportunities essential for building a successful independent career. A New Framework for T Cell Control
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of Excellence and the SPARK Norway innovation program. Our lab fosters an environment that provides the direct mentorship and networking opportunities essential for building a successful independent career. A New
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning