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: The work plan addresses the needs in current Research and Development (R&D) projects in INESC TEC to build energy-efficient software prototypes for training deep learning models on large-scale
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months, starting on 2025-12-01 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor: Diogo Neves Workplace: INESC TEC
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insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship; - identify and select the appropriate methods for the study in
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the numerical assessment and dynamic simulation of mooring systems, as well as the study of the hydrodynamics of offshore structures and ocean energy converters using specialised software. The researcher will
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months, starting on 2025-12-01 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor: Diogo Neves Workplace: INESC TEC
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. OBJECTIVES: - Expand knowledge of the state of the art in the specific scientific area of the grant; - Identify and select appropriate methods for the study in question; - Develop research capacity through
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. OBJECTIVES: - To expand knowledge of the state of the art in the area of radar + video systems for motorcycles; - Identification and selection of the most adequate optimization methods to address the proposed
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PLACE FCUP-INESC TEC WORK AREA: Physical or Electrical Engineering The present work is part of the ATE_SOUND3D_OS project and aims to provide support and develop Python software for a customized submarine
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four years, in the cases of students enrolled in a PhD. Scientific advisor: Alípio Jorge Workplace: INESC TEC, Porto, Portugal Maintenance stipend: 1309.64, according to the table of monthly maintenance
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of the art in the specific scientific area of the grant ; - To identify and select the methods appropriate to the study in question ; - To develop research skills through the application of the selected