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Field
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our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like
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, sensor-driven prognosis, and complementary supervision. These secondments form an integral part of your training and will contribute significantly to the interdisciplinary and intersectoral nature of your
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into large-scale O&M practices. ETH Zürich (Switzerland), supporting academic collaboration in SHM data processing, sensor-driven prognosis, and complementary supervision. These secondments form an integral
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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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healthcare, telecommunications, advanced manufacturing, and sensor networks. Key to this project will be doctoral training initiative consisting of 15 PhD students delivered in collaboration with Ulster
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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