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hardware with wireless communication and complex analytical software. Mussel behaviour is not binary (open/closed) but highly dynamic, with subtle patterns indicating different stressors. Training machine
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impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
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sensor designs should achieve high sensitivity to very small pressure change, making them suited to wireless motility sensing. The sensor will be created used microfabrication techniques such as soft
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rigidity to penetrate without damaging tissue and stability against peristalsis. The device will also include onboard electronics for wireless data transfer to an external receiver. The device will be tested
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will be affiliated with Wireless@VT and will contribute to foundational and applied research in wireless communication systems. Representative areas of focus include: (i) Artificial intelligence and
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wireless communication systems. The PhD student will carry out specifically the following initial tasks: implementation, and calibration of the microscopy system; electromagnetic modelling of the near-field
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the scope of the Project / R & D Unit "TERRAMETA - TERahertz ReconfigurAble METAsurfaces for ultra-high rate wireless communications”, Ref.ª [101097101]" financed by European Union (Horizon Europe) Main
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- Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing - Time Delayed Systems - Adaptive Queuing
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Description Summary: There is an open call for two (2) Research Scholarship (“Bolsa de Investigação”) at Instituto de Telecomunicações, in the scope of project Joint-Lab-RD2. Scientific Area: Wireless