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at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning
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member in the Faculty of Science and Technology, in the following disciplines: IoT infrastructure and devices (sensors, embedded systems, etc.) Sensing technologies IoT security and privacy-enhancing
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flow. A recent explosion in the number of sensor capable of measuring ice flow from space, and the maturation of projects targeted at extracting comprehensive records of ice flow (e.g. NASA’s ITS_LIVE
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mangroves peatlands, and streams, as nature based solutions. The lab integrates field-based experiments, high-frequency sensor networks, stable isotope approaches, and modelling to study water, carbon
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externally funded, convergence research at the intersection of polymer chemistry, surface science, sensor technologies, environmental engineering, with Omics-driven approaches for materials discovery. This is
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scheduling algorithms to ensure operation continuity and reliable information exchange among batteryless sensors. Where to apply Website https://lavoraconnoi.unitn.it/research-assignments/dipartimento-disi
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and communication delays. Besides, works considering both integrity attacks on sensors and actuators as well as on the network availability (denial-of-service) are rare. Furthermore, current approaches
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sensor to power mobile noise measurement stations. Make an energy collector. Estimate the energy collected. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas
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of transportation networks around the world. Areas of investigation include the assessment of resiliency techniques and comparing them to existing design standards to determine areas of needed improvement
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, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Event-Driven Perception for Robotics(https://edpr.iit.it/ ) group, coordinated by