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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
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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Science Research unit: https://genomics.iit.it/ ESSENTIAL REQUIREMENTS PhD in computational biology, machine learning, bioinformatics, physics or related fields; High proficiency level in programming
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the field are foreseen. The job includes participation in (international) conferences and (hybrid) workshops, as well as occasional travel Where to apply Website https://recruitment.jrc.ec.europa.eu/vacancy
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for energetic transition” Research unit is coordinated by Dr. Angelica Chiodoni (https://adv-char.iit.it/ ), who has extensive experience in materials characterization, technologies for energy transition and
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collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The Nanochemistry Research Unit (https://www.iit.it/research/lines/nanochemistry ) at IIT in Genoa
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance