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research, including the development or integration of algorithms, decision support tools, predictive models, artificial intelligence, visualization and analysis of health data, as well as the use
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Sciences Group: Pattern and Image Analysis – Lx Work Objectives: The main goal of DECOLLAGE is to develop new models, methods, and algorithms for language generation with higher-order cognition capabilities
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degree in the field of bioinformatics and computational biology. Work plan: To develop and evaluate a hybrid quantum–classical approach for NGS data alignment, combining Grover’s algorithm with classical
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TEC. 2. OBJECTIVES: This grant, within the scope of the EuroCC2 project, has as its main objectives the research and development of new features for the Intel SPDK (Storage Performance Development Kit
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Regional Development Fund (ERDF). The following conditions apply to this recruitment process 1. SCIENTIFIC FIELD Engineering 2. REQUERIMENTS OF ADMISSION Minimum required profile: Bachelor’s degree in
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to the detection of fall-risk situations during assisted gait with the team’s commercial exoskeleton, including sensor data processing and algorithm parameter tuning. ii) Developing and testing software modules
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
the last mile of maritime container Supply Chain Management, through the analysis, development, and implementation of advanced Artificial Intelligence, optimization, and decision-support algorithms within
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ForestWISE® is a Collaborative Laboratory focused on forest and fire issues through the development of (co)research, innovation and knowledge transfer and technology activities. Our goal is to promote
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of the CAPE Project - Ref: NORTE2030-FEDER-01241200 - 17576, Co-financed by the European Regional Development Fund (ERDF) through the Northern Region Programme 2021-2027 [Norte2030] of Portugal2030, under
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symbolic language. This foundation supports a novel alignment algorithm that quantifies inconsistencies, offers actionable compliance scores, and exposes bottlenecks across control-flow, data, and resource