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Nutritional Balance”, “3.2 – Implementation of Environmental and Physiological Sensors”, “3.3 – Intelligent Personalized Recommendation System for Physical Activity and Nutrition”, and “3.4 – Testing and
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for soft and continuum robots, integrating advanced sensing technologies for shape and force estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and
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investigate physical and chemical properties of nanomaterials and compounds, whether they will be used as coatings for smart windows, for gas sensors, photocatalytic coatings, and spintronics
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, sensors/actuators, or e-textile integration. Strong communication skills and the ability to collaborate in multidisciplinary environments. Application Information When applying, please clearly indicate
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and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments, numerical methods, or machine learning approaches is an advantage. Fluent command
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satellites and space payloads. The laboratory features an advanced electronics development environment equipped for precision soldering, calibration, functional testing, and sensor characterization. A
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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
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inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field detection. One