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of Python programming. - Development of IT tools for use in real environments. - Knowledge of simulation methodologies. Minimum requirements: Past experience (or academic training) in Artificial Intelligence
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, including features such as state estimation, alarm prioritization, and issuing recommendations to the operator.; - Integration and testing in an experimental environment, with real data provided by grid
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team of linguists, and NLP researchers from INESC (https://nlp.inesctec.pt ) and will have the opportunity to work in a dedicated and young environment, in close interaction with researchers, master's
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implement computer vision algorithms in a hospital environment to support the management of gastric cancer. More specifically, we intend to evolve algorithms that detect and quantify the presence
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component in uncontrolled DevOps environments (GitHub). Study and evaluation of static security analysis tools for GitHub Actions. Installation and configuration of a controlled DevOps environment (GitLab
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under realistic conditions.; • Implement and experimentally test the system in a real environment, with hardware integration and validation campaigns in parabolic flights.; • Evaluate system performance
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Renewable Energy Communities, to enable the hybridization, utilisation and monetisation of storage flexibility, within a real-life environment. The project outcome will allow various DES, DER and several new
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and real-world testing environments (e.g., automotive or robotics).; Minimum requirements: • Experience with software development (e.g., Python, C++) and basic knowledge of sensor systems. 5. EVALUATION
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engagement with suppliers for comparative analysis of commercial solutions.; • Participation in the installation and integration of the characterization system within the laboratory environment.; • Execution
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of different RIS configurations in a controlled environment (anechoic chamber).; 5. Preparation of the technical activity report within the scope of the research grant.; 4. REQUIRED PROFILE: Admission