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experience in Machine Learning, Deep Learning and Data Analysis; - The candidate's scientific curriculum and ability to publish scientific papers will be valued; - Suitability of the candidate's training and
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as follows: A. Academic curriculum assessment (40%) B. Consolidated knowledge of Computer Science, Data Analysis and Machine Learning (60%) Composition of the Selection Jury: Chair – Pedro José de Melo
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of the “Aviso para Apresentação de Candidaturas nº 11/SI/2021", under the following conditions: Scientific area: Physics Specific Scientific Area: Data analysis and machine learning Recipient category: The open
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Science, or a related field. Specific scientific area: Electrical Engineering, Electrical and Computer Engineering, or Computer Engineering. Where to apply Website https://www.ipc.pt/bupc/concursos/form
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5 Mar 2025 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Engineering » Computer engineering Engineering
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of Computer Engineering of the University of Coimbra (DEI-FCTUC) III- Scientific supervision/coordination of the grant: Pedro José Mendes Martins e Rui Pedro Pinto de Carvalho e Paiva IV - Work Plan / Goals
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requirements: - The candidate must be enrolled in a degree course in the areas of Computer Engineering, Informatics, Electronic Engineering and Computers, or related areas. - The candidate must have previous
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within the framework of project recyBRASS – “New lead-free brass metal alloys, incorporating high levels of recycled material, excellent machinability, and resistance to dezincification, for an innovative
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recyBRASS – “New lead-free brass metal alloys, incorporating high levels of recycled material, excellent machinability, and resistance to dezincification, for an innovative approach in automotive and sanitary
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recyBRASS – “New lead-free brass metal alloys, incorporating high levels of recycled material, excellent machinability, and resistance to dezincification, for an innovative approach in automotive and sanitary