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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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, environmental and sensor data Design and validate AI-based risk and preparedness models Publish scientific articles in peer-reviewed journals and conferences Participate in international collaboration within
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is
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, CVPR, ECCV, PR, or PRL. Experience in leading and coordinating research projects. Experience in biometric data acquisition, sensor calibration, and dataset management. Expertise in deep learning, GenAI
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dynamic pressure sensors to measure the flow and flame response. In particular, the project will focus on novel methods of introducing flow perturbations, to rapidly and accurately characterise the acoustic
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Language Model-based application development. Knowledge Graph Development for Sensor Data. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine