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within the scope of the operation A-MoVeR - Mobilizing Agenda for the Development of Intelligent Green Mobility Products and Systems, namely: 1) Development of prototype production methodologies; 2
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evaluation setup in the respective task, including preparation of appropriate datasets and benchmarks. • Processing and structuring of Portuguese Navy documents and protocols. • Research strategies to generate
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description: The University of Trás-os-Montes and Alto Douro (UTAD) opens a call for three (3) Research Grant for MSc students, in the frame of the R&D operation A-MoVeR - Mobilizing Agenda for the Development
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Description Offer description: The University of Trás-os-Montes and Alto Douro (UTAD) opens a call for one (1) Research Grant for MSc students, in the frame of the R&D operation A-MoVeR - Mobilizing Agenda for
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Description Offer description: The University of Trás-os-Montes and Alto Douro (UTAD) open a call for one (1) Research Grant for Electrical and Computer Engineering PhD students in the frame of the R&D project
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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models Additional Information Benefits
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factors: - Completion of curricular units in Machine Learning and Deep Learning - Experience, at the level of preparatory research work f or obtaining the Master's degree in Computer Engineering, in Medical
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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models. Additional Information Benefits
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information can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 Applications should be sent by email to: PhD. Jose Silva Renewable Energies Chair at the University of Évora e-mail
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framework of project “SNexT: New generation of hybrid tools”, with nr. 14419 and operation code at the Funds Platform COMPETE2030-FEDER-00582100, co-financed by COMPETE 2030, by Portugal 2030 and by