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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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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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2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai Duties of the position Complete doctoral education
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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