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. The project aims to integrate machine learning, artificial intelligence (AI), and statistical modeling to analyze spatial transcriptomic data at a sub-cellular resolution, with the goal of advancing biomedical
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experience with EB-PBF systems is considered an asset) Python programming Statistical learning / machine learning / machine vision / Artificial Intelligence methods Image and signal processing (familiarity
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sustainability reporting). Particular areas of investigation will include the study of accounting fraud and the analysis of the potential offered by big data and machine learning techniques in the processing and
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important applications concerns the monitoring of land cover in relation to climate change. In this context, although artificial intelligence and machine learning techniques have been widely used
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the foundations of machine learning. He/She will have to be able to teach in Italian and/or in English. Teaching, supplementary teaching and student service activities will consist of 350 hours per year, of which
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Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel & Distributed, Computing/Learning Control Systems Optimization Planning and Scheduling Human
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, Biological Anthropology, Artificial Intelligence, Neurophilosophy, Neuroaesthetics,etc.) ○ Brain disorders(Psychiatry, Neurology, Rehabilitation Medicine, etc.) ○ Brain Engineering(Brain-machine interface