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) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is problematic for both clinicians and patients. The PhD provides an opportunity to develop
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for this PhD position will be conducted in the research team on Intelligent Wireless Networking. Job description Wireless systems are omnipresent in our daily life, but it is far from perfect, especially
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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 matches (e.g
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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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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tissue, radiologists insert a localisation device (RFID, magnetic seed) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is
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positioning and wireless communications, as well as signal processing and hardware aspects of wireless systems. Upon excellent results, the position will be renewed every year, until the end of 2029
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 9 days ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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, electric vehicles, industrial IoT, 6G communication, and wireless sensor networks, as well as research and education in Life Science, health technology, smart electronic sensors, and medical systems