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the following requirements: - Have experience in areas relevant to the project, namely knowledge of mobile communications, preferably 5G mobile networks. The proof of enrolment must be made until
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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
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exploring binarized neural networks as potential candidates for privacy-preserving methods in sensitive speech classification tasks. The candidate will begin by reviewing the current state-of-the-art
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speech processing and speech classification; Research experience with deep neural networks and complex networks; Hands-on experience with Automatic Speech Recognition systems; Hands-on experience with
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simulation through industrial communication protocols and/or a REST API.; • Identify and/or develop tools that enable robust remote communication with a real-time computational simulation.; • Experimentally
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Research Scholarship at the Institute of Telecommunications, within the scope of the project projeto ESA-POGS - FSO (CO). Scientific Area: Optical communications Group: Optical Communications Systems and
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, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and
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). Distribution transformers are critical components within electrical networks, and their reliable operation is essential to maintain service continuity and reduce economic losses resulting from unexpected outages
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distribution networks, considering solutions such as FL Energy's OperatorFabric.; - Study human-machine interaction methodologies that reduce the complexity of supervising multiple distribution networks
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of a real-time computational simulation through industrial communication protocols and/or a REST API.; • Identify and/or develop tools that enable robust remote communication with a real-time