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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications
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analysis methods for image data or time series data. Personal characteristics Willingness to learn new fields in a multidisciplinary research environment. Excellent communication skills. Drive to transition
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University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Good experimental skills will be considered an advantage Experience with image processing will
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to develop generative AI methods that are applicable for data types beyond text and images (e.g., dynamic graphs), and the successful candidate will be given high level of independence when it comes
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, and X-ray imaging techniques for 3D reconstruction of deformed samples, benefiting from ongoing collaborations with NTNU’s Department of Physics and the University of Cambridge’s Department
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, applying step-pulses of high-voltage (0.5 / 1700 µs, up to 600 kV) to an 80-mm needle-plane liquid-insulated electrode gap. Current, light emission (PMT), streamer images (high-speed camera), and pressure