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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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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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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | 3 months ago
focuses on the design, fabrication, and validation of a microfluidic device intended for biomedical applications, in particular for studying skeletal-muscle functionalities. Where to apply Website https
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reinforcement learning methods for cooperative source localization in dynamic marine environments. Research will address distributed information fusion, decentralized coordination, and control with event
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of qualifications. Interview on: a) discussion on submitted qualifications and publications b) assessment of skills and knowledge in the field of: - Artificial Intelligence, Machine Learning and generative 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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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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process data locally while ensuring efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices
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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