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related área, preferably with experience in Machine Learning or Digital Twins. Work Plan: The objective is to monitor and make predictions in real-time to detect, resolve, or mitigate operational problems
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/simulation models for noise generated by railway circulation; ii) Comparison between calculation results and reference/experimental results; iii) Carrying out tests on Machine Learning models to predict
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1 Apr 2024 Job Information Organisation/Company Polytechnic of Leiria Department School of Technology and Management Research Field Engineering » Computer engineering Researcher Profile First Stage
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brings an unprecedented opportunity to understand complex systems through efficient data-driven strategies. To this end, advanced visualization frameworks will be used, combined with machine-learning
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: Design and construction of dataset. Task 2: Development of a platform based on Machine Learning for characterization of works of art in roads and highways; Task 3: Analysis, selection and calibration
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Intelligence and Machine Learning. Applicants’ eligibility: Applicants must comply with the eligibility conditions laid down in article 9 of the Research Grants Regulation of the Portuguese Foundation
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Objective: These activities are intended for the scholarship holder to develop new knowledge and skills in Machine Learning, with an emphasis on data fusion techniques. The activities planned
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requirements: Programming languages of Java, Python, PHP, C/C++, Assembly Software Security Security Risk Analysis and Management Machine Learning Web Applications Security and Reliability Operating Systems
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. 10IS00047), funded by DGES, with the following conditions: Research Field:Computer Science Admission Requirements: Bachelor (Licenciado) in computer engineering or related area, preferably with experience in
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. 10IS00047), funded by DGES, with the following conditions: Research Field:Computer Science Admission Requirements: Bachelor (Licenciado) in computer engineering or related area, preferably with experience in