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-performance scientific computing, integrating traditional physics-based approaches with data-driven methodologies, including machine learning, deep learning, data mining, neural networks, and artificial
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machine learning Where to apply Website https://pica.cineca.it/units Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUniversità degli Studi di
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specific courses in Computer Engineering (SSD IINF-05/A). The winning candidate will be involved in research in the field of artificial intelligence and deep learning applied to images and videos, using
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language required: excellent level of English; Knowledge of Italian: level adequate to carry out the assigned teaching load (the researcher is required to teach in Italian); Maximum number of publications
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. The perspective researcher will have to teach courses in English Linguistics and Translation (L-LIN/12), in different degree courses of first and second level. The perspective researcher will demonstrate to have
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Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control and Optimization Human-Machine Interaction Software Development AI Agents Preferred Expertise Experience deploying AI
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biological systems, ideally relevant to disease states; Spatial 'omics and Digital Pathology. Integrating cutting-edge machine learning approaches to analyse data from spatial transcriptomics, proteomics, and
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. This aspect, which extends from networking, to security, to system administration, poses a further emphasis on the computer engineering skills required by the applicant. This position requires a solid computer