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for industrial applications (e.g. building integration PV) and novel self-powered photovoltaic-based devices for Internet of things (IoT) applications (e.g. sensors, wearables, printed electronics). The group
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Job description: We are looking for a postdoctoral researcher specialized in electronics and embedded systems, capable of designing and deploying innovative IoT solutions for research projects
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. The research explores how AI, IoT, digital twins and data analytics can be integrated into early stages of product and production development to enable resilient, circular and long-term competitive solutions
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also supports the development of AI-enabled network orchestration, as well as digital-twin-assisted planning for future IoT and 6G systems. You will be mainly in charge of: • Contributing to the design
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quality, food losses, digitalization in agri-food systems, data analysis or modelling approaches may be considered an asset. Who can apply? Candidates must have a PhD degree and must have obtained
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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Enthusiasm and excellent collaboration skills Passion for computational modelling Strong oral and written skills in English As a formal qualification, you must hold a PhD degree (or equivalent) in machine
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the development of sustainable chipless RFID systems for Internet of Things (IoT) applications. The project will be carried out in close collaboration with Jiva Materials Ltd and is funded by the EPSRC Impact
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Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile
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deliverables Disseminating results through scientific publications Presenting results in well-known international conferences and workshops Implementing proof-of-concept solutions Providing guidance to PhD, MSc