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Requirements: Selection will prioritize candidates with interest and/or experience in the following areas: a) Basic knowledge of machine learning techniques, with interest in exploring algorithms such as
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) Proficiency in scientific programming tools and development of machine learning algorithms applied to biomedical data (preferably Python and MATLAB); e) Skills in managing computer equipment for advanced
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based
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internationally. Main Responsibilities · Contribute to the installation, calibration, and validation of radio monitoring equipment. · Develop and test real-time data pipelines and deep learning algorithms for Solar
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validation of machine learning algorithms for container transport planning problems, using real-time data from the tracking system. Taking a logistics perspective, the main objective is to consider the main
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 25 days ago
can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . Work plan and objectives to be achieved: flexREC aims to develop multiobjective algorithms to manage the charging
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of the state of the art in Evolutionary Algorithms and Large Language Models. Survey of the state of the art in Evolutionary Algorithms applied to Large Language Models. Implementation of an evolutionary
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 19 days ago
for periodic reprocessing and extension to different regions; 2. Implement algorithms for the extraction and vectorisation of cartographic elements (e.g. administrative boundaries, transport networks, land use
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effects within the DG framework Hydrodynamic drag for discrete elements Irregular Bathymetry Modeling Develop seabed interaction capabilities: Contact detection algorithms for irregular seabed profiles