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considered as proof of enrollment. Candidates profile: candidates must have, at the time of application, a Master's degree in Industrial Electronics and Computer Engineering, or related fields. Priority will
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considered as proof of enrollment. Candidates profile: candidates must have, at the time of application, a Master's degree in Industrial Electronics and Computer Engineering, or related fields. Priority will
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, verifying, evaluating, and benchmarking the TinyML classifiers. It will also support the integration, construction, and validation of the laboratory prototype of the new automotive sensor system, based
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be given to candidates with consolidated knowledge in signal acquisition and pre-processing, development of Machine Learning Algorithms in Python and some knowledge in database. Applicants eligibility
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laboratorial prototype of the Road Condition Mapping, and its respective validation in laboratorial environment. The evaluation of the work carried out will be verified through the results obtained and expressed