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of the Fellowship are: 1) Apply reinforcement learning algorithms to optimize electrical networks considering energy transition challenges. 2) Develop and apply a protocol for assessing the robustness and safety
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The objectives for this grant are as follows:; - Research and develop machine learning algorithms for the processing of gastric
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of Electrical Engineering . Algorithm development. WORK PLACE INESC TEC, Porto, Portugal WORK AREA: Electrical Engineering The work is part of the MODAS project which aims to support and develop software for BIG
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OF THE WORK PROGRAMME AND TRAINING: The work programme focuses on developing advanced real-time control and protection algorithms to address the evolving challenges in power systems due to the massive