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publications in image processing, computer vision, machine learning, natural language processing or other AI fields. Excellent English communication skills (written and oral). ** About the Fellowship
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techniques; Machine Learning 5G, 6G, IoT, and embedded systems; Demonstrated relevant academic production in high-impact scientific journals; Advanced English proficiency. Responsibilities: 1) Elaboration
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machine learning and data mining. The researcher will investigate new Automated Machine Learning (AutoML) approaches for Smart Cities-related data. Under coordination of Prof. André de Carvalho from
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machine learning techniques is crucial to achieving good solutions to the problems under study. Profile: Exceptional scientific performance, knowledge of operational research and high level of autonomy