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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Within the scope of the ATE (Alliance for the Energy Transition) project, one
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Within the scope of the ATE (Alliance for the Energy Transition) project, one
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Deepen the understanding of the state-of-the-art in hypervision applied to the operation of electricity
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to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - To expand knowledge of the state
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The selected researcher will be required to fabricate waveguides with reduced total
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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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://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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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: CAD systems for the automatic detection of pulmonary nodules on CT are one of the most studied applications
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The AI-RBD (AI-driven video analysis for REM behavior disorder detection