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difficulty levels for exercises. The PhD project will develop methods and solutions to measure and analyse sensor data from stroke patients after their follow-up in specialist healthcare services has ended
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of Software for Advanced Sensor Integration. Objective: Create a sensor integration infrastructure combining data from multiple sensors and human inputs. Activities: Survey and characterization of robot sensors
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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Sensing (DAS) has emerged as a powerful technology for down-hole monitoring of flow processes in petroleum wells, using fibre optic cables as acoustic sensors. Despite its potential, current applications
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emerged as a powerful technology for down-hole monitoring of flow processes in petroleum wells, using fibre optic cables as acoustic sensors. Despite its potential, current applications rely largely
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storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any deterioration
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environmental sensing. The incumbent will contribute to the development and deployment of real-time correction algorithms and hardware systems, leveraging GLAO technologies in collaboration with ULTIMATE-Subaru