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· Analyze and characterize heat generation in sodium-ion, and potentially lithium-ion, batteries using the various calorimetric techniques available in our laboratory (heat flux sensors, isothermal
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working with heterogeneous datasets originating from different sensors or data sources. Familiarity with forest ecology, biodiversity, or natural-resource applications. Experience developing reproducible
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: in-situ sensors provide highly localised measurements, while satellite products can be too coarse for field-scale decision-making. This PhD project will investigate how Global Navigation Satellite
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sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state-of-the-art machine learning methods, acoustic sensing
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, and component failures; • Ensure a high level of resilience to incidents affecting equipment, sensors, or communication infrastructure. However, traditional protection and monitoring methods
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doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
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the Norwegian Railway Directorate. Duties of the position Complete the doctoral education, including at least 30 ECTS of coursework, and obtain a doctoral degree Collect, structure and assess relevant sensor
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TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe
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. About the project The planned topic of the PhD project is to find practical ways to make the forces from different types of “sails” (wing sails, rotors, suction sails …) as directly measurable as possible
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater