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coupling systems.; • Develop technical skills in electromagnetic modeling and simulation tools, as well as in energy efficiency optimization algorithms.; • Consolidate the ability to write scientifically and
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validation of the solutions being created. Activities will include the selection and integration of sensors and data acquisition systems, the implementation of algorithms for data compression and analysis, and
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methodologies, models, and algorithms in the context of logistics. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions
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will participate in the different stages of the research cycle, from problem analysis and algorithm development to its implementation and experimental evaluation on a real robotic platform:; ; 1. Study
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; - Development of a simulation module for parcel delivery operations, integrating traditional simulation techniques with Machine Learning models; - Development of algorithms for the integration of Machine Learning
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to create accurate cell charging and discharging models. 3. Development of Estimation Algorithms: Create algorithms to accurately estimate the state of charge (SOC) and state of health (SOH) of batteries. 4
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control functionalities. - Design of a multi-objective algorithm capable of generating optimal mission scheduling strategies for the fleet, considering multiple conflicting objectives (e.g., probability