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Programmes Body (SEUPB). SPEAR will provide Atlantic Technological University (ATU - Letterkenny) and Ulster University (Derry~Londonderry) with access to an all-island network of research groups and industry
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Cooperative Extension Area Citrus and Pistachio Advisor - Serving Kern and Kings Counties (AP 25-34)
University of California Agriculture and Natural Resources | Bakersfield, California | United States | 20 days agomanagement using AI-powered diagnostics, drone surveillance, and sensor networks to detect, predict, and mitigate threats with minimal chemical input High-density orchard systems optimized for mechanical
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manufacturing, and edge sensor networks. We may create a 12-month waiting list for same or similar roles within the Department / Faculty. The University reserves the right to extend the waiting list across
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spectroscopy and sensing, supported by long-standing expertise in fiber-optical sensor technology. As part of the SMS project, a shaft monitoring system for elevators is being developed in collaboration with
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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
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classification of Aluminium 5083 TIG welding using HDR camera and neural networks. J. Manuf. Process. 45:603–613. https://doi.org/10.1016/j.jmapro.2019.07.020 2. Wang R, Wang H, He Z, et al (2024) WeldNet: a
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Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical
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(ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital
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Marie Curie Grant Agreement Number 101226289 Is the Job related to staff position within a Research Infrastructure? No Offer Description This position is part of the BUG-ID Doctoral Network "Biosensors
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. These modules, often based on deep neural networks, are sensitive to both accidental faults and intentional attacks [1]-[5] that can alter their decisions. Ensuring their robustness under real-world conditions is