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ventilation systems, active air treatment technologies (e.g. particulate filters, UV disinfection) and sensor networks to monitor and respond to air quality in real time. However, there’s a critical need to
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or methodologies (e.g., drone infrastructure, networked sensors, AI-enabled control, and communication systems) into instructional and research setups, ensuring safety, reliability, and compatibility. Supports and
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responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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Helps us to derive novel climate data by combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position
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aerial vehicle (UAV) technology make them a promising solution to densify ELA monitoring. However, expanding the density of meteorological sensors in the ELA to bridge the spatiotemporal meteorological
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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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 of the future
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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-taught Doctoral Education courses and write scientific articles and a dissertation. For more details, please check https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . TU Delft (Delft University