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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
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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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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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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
letter, and two reference letters through the IMDEA Networks Institute hiring portal, at: https://careers.networks.imdea.org/ Publications relevant to the position: [A] M. Stute, F. Kohnhäuser, L
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About the job To lead the technical development, optimisation, validation, and field deployment of a smart optical nitrate sensor platform within the School of Chemistry and Chemical Engineering at
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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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the vehicles, computers control the various systems using a set of sensors and actuators distributed throughout the vehicle, and exchange data with each other via communication networks. This results in highly
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault