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- progetto FLINT, CUP B69J25001080005
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Field
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position requires developing and implementing machine learning models
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policies, as well as defining strategies to ensure service continuity and support machine learning, knowledge extraction, and predictive analytics activities within data-driven research projects. In addition
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regulations; Foreign 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
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load (the researcher is required to teach in Italian); Maximum number of publications to be presented: 12; Hours of work: full time. Where to apply Website https://www.unitn.it/valutazioni-comparative
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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 to be
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of Italian: level adequate to carry out the assigned teaching and research load (the researcher is required to teach in Italian); Maximum number of publications to be presented: 12. Where to apply Website
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researchers and research institutions. The researcher is expected to teach courses related to SSD STAT-01/A – Statistics, in Italian and English, at the bachelor, master, and PhD levels. The teaching activity
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management, analytics, machine learning, and artificial intelligence. Its objective is to contribute to the advancement of scientific knowledge in the field of data-centric systems by addressing the challenges
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on their reliability. Finally, the research will also focus on new Scientific Machine Learning methodologies that combine data-driven models with physics-based models. Courses in the MATH-05/A Numerical Analysis program
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infrastructures, with a focus on light electric vehicles, machine learning and artificial intelligence, SCADA data analysis, diagnostics and monitoring of renewable energy systems, electrical measurements, and