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abroad and recognized as equivalent to the Italian qualification by the competent academic authorities. Preferential requirements are: knowledges of cybersecurity and privacy, machine learning, blockchain
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2024 CS: Developing Machine Learning-based Solutions for Detecting Anomalous Behaviors in Smart Industries Requirements Additional Information Eligibility criteria Eligible destination country/ies
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through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study of machine learning algorithms
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program: The research program involves both fundamental and applied research in Artificial Intelligence. The fundamental research will focus on the study, development and implementation of AI and machine
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artificial intelligence (AI) and machine learning (ML) revolutionized several industries, enhancing productivity, cost savings, and risk management. The project is focused on artificial and ML algorithms
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17 May 2024 Job Information Organisation/Company Università di Pisa - Dipartimento di Ingegneria Civile e Industriale Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application...
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in interactions with AI-based solutions during customer experiences. The UNIVPM unit will analyze all collected data based on text-mining and computer vision technologies supported by AI, deep learning
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via Artificial Intelligence (A.I.) and Machine Learning (M.L.) frees up valuable resources, allowing Management Accountants to focus on high-value-added tasks, such as strategic analysis and internal
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17 May 2024 Job Information Organisation/Company Università degli Studi di Genova Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 6 Jun 2024 - 23:59...
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made available by Machine Learning (ML) and Deep Learning (DL), are demonstrating their effectiveness in solving prediction, diagnostic and support problems to decisions in the panorama of electric