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Dipartimento di Ingegneria dell'Innovazione - Università del Salento | Lecce, Puglia | Italy | about 1 month ago
(GIS), environmental monitoring networks, Internet of Things (IoT) technologies, hydrological and hydraulic models, data analytics techniques and Decision Support Systems (DSS). The research fellow
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constrained IoT devices to use DLT-backed credentials without carrying the full computation and communication burden on-device. Specific tasks include: The applicant is expected to deliver the following
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through application evaluations and interviews. Experts are sought in the programme's seven research areas, including sustainable horticulture, agrivoltaics, food safety, artificial intelligence, IoT
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, for the project/R&D institution “LASIGE” , “UID/00408/2025”, “DOI: https://doi.org/10.54499/UID/00408/2025 ”, funded by the Fundação para a Ciência e a Tecnologia, I.P./MECI through national
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intelligence, big data, IoT and cyber-security, and also of quantum technologies in order to contribute to the realization of Society 5.0, which is a super-smart society envisaged by Japanese
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format. If you have any questions, please email: [email protected] . About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the
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-edge technologies for future cyber-physical systems and the Internet of Things (IoT). Position You will actively work on the preparation and defence of a PhD thesis in the field of wireless and embedded
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algorithmic approaches and be conducted in the context of wireless networks, the Internet of Things (IoT), distributed learning, or edge computing infrastructures. The research topics may include, the
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Assistant (Crop Experiments and Sensing
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activities around sustainability-aware event data engineering for global logistics, integrating process mining, geospatial analytics, IoT data fusion, and real-time prediction of logistics performance