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screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will particularly support the development of a novel research method for identifying and
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of artificial intelligence through innovative teaching practices, cutting-edge research, and/or thought leadership in academic or professional communities; 3) Demonstrated evidence of teaching potential
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expertise in AI-enabled Chemical Discovery, broadly defined. We seek candidates employing cutting-edge interdisciplinary approaches developing artificial intelligence applications for chemical questions
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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digital strategies. This includes robotic automation of repetitive tasks and the use of artificial intelligence to optimize experiments and exploit composition-processing-property relationships
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Intelligence and Data Science techniques for Industry 5.0. Where to apply Website https://istanze.univpm.it/rwe2/module_preview.jsp?MODULE_TAG=INCRIC_2026_6B Requirements Additional Information Eligibility
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researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UB RF signal data analysis, and wireless sensing network architecture design and optimisation. It
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(UWB) RF sensing, localisation, and vital sign recognition. The successful candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and
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to classify landslide types primarily using geological and geomorphological data The Research Assignment is aimed at developing Artificial Intelligence (AI) models, mainly CNN and ViT, for the automatic
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Educational Technology, Curriculum development. Online course design, Artificial Intelligence and Educational Systems, Large language models, Accessibility, Media Productions, Systems and Infrastructure, and