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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The main objective of this work is to develop an intelligent control and coordination module for robotic
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the implementation of algorithms, integration with the main application, and validation through testing; validation of the developed platform through real-time testing. The University of Algarve reserves the right
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of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent, modular battery with machine learning algorithms. The aim is to develop a high-performance
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algorithms; Minimum requirements: - experience with cross-platform mobile development frameworks (Ionic); - experience in software development using the Python programming language. 5. EVALUATION
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. Develop intelligent algorithms that allow cooling systems to be controlled based on sensor inputs, ensuring adaptation to different scenarios and operating conditions; 4. Integrate and validate
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 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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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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://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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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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://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