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) and enable us to build denser environmental sensor networks that measure phenomena more efficiently which vary greatly in space and time, such as air or noise pollution. However, such dense wireless
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Change: Leverage high-resolution tactile sensors to handle contacts Impact: Autonomous grasping and manipulation Job description Dexterous manipulation represents one of robotics' most fundamental unsolved
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fascinated by cutting-edge photonic technologies and their role in shaping the future of clean energy? Do you want to pioneer integrated photonic sensors for nuclear fusion diagnostics? Join us in developing
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resilient infrastructure? Would you like to integrate advanced AI techniques with heterogeneous UAV-based sensor data for the inspection and maintenance of critical transportation infrastructure, addressing
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description The functioning of cities depends more than ever on urban infrastructures like transportation networks, power grids, water networks, Internet of Things sensors, and analytics platforms that gather
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particular connectivity within and between complex system? Would you like to apply efficient AI techniques for adaptive configuration and optimization of industrial communication networks to enhance
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bipolar disorder. You can make it happen. Join our project Wearable sensors for monitoring of sweat metabolites. Job description Patients with chronic conditions regularly need to visit the hospital
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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
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of the Marie Curie Doctoral Networks "FINALITY", will be hosted at TU Delft, Department of Computer Science, and will be co-supervised by Prof. George Iosifidis (TU Delft) and Prof. Constantine Dovrolis
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theme is the role of geodetic expertise in designing and evaluating IS-InSAR networks after data acquisition, analogous to optimal network design in conventional geodesy. Job requirements The successful