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Field
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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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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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: Application (cover letter) Vision for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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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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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