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requirements to be integrated into the UAV under development.; ; - Development of Deep Learning algorithms for processing information from visible spectrum cameras, thermographic cameras, and LiDAR systems
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
; - Collaborate in the writing of technical reports regarding the protocols, mechanisms, and algorithms developed; - Co-author scientific publications based on the work developed; - Prepare the research grant
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algorithms to cluster and classify flexibility profiles of electric vehicles.2. Development of Flexibility Forecasting ToolsCreation of forecasting models to anticipate the availability and activation
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10 val. Solid knowledge of machine learning, information visualization, and data analysis algorithms and methods 10 val. Basic knowledge of Extended Reality application development
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mobile applications in the health field (e-health & m-health). Development and integration of algorithms from the research group. Testing and validating technologies in real scenarios, collecting user
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of algorithms, data models, and interfaces. Research and selection of the tools and technologies to be used. • Initial development and prototyping: Start of development of the core components of the malicious
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of initial prototypes for concept and algorithm validation. Preparation of datasets for training and testing. • Implementation and advanced development: Complete development of the detection modules, including
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the European Regional Development Fund (ERDF) through the Northern Region Programme 2021-2027 [Norte2030] of Portugal2030, where the following conditions apply: 1. SCIENTIFIC AREA Computer Engineering or
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the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - collaborate in the development of new communications solutions for extreme environments; - contribute to co
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algorithms. The aim is to develop a high-performance intelligent motor control system that enables greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements