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Field
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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position in our Trapped Rydberg Ion Project. The candidate will contribute to cutting-edge research on trapped ion experiments, focusing on the implementation of fast quantum gates and quantum algorithms
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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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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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process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - To contribute to the specification and development of algorithms for optimizing energy systems with
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frameworks such as COLMAP and Open3D; Ability to develop algorithms for object detection and tracking, 3D reconstruction, and SLAM. Advanced Control and Intelligent RoboticsSolid knowledge of classical and
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: Experience with optical research laboratories. Software development for Software development for equipment control and orchestration Software or algorithm development for communication networks. Background in
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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candidate will lead the development of an activity-level carbon calculation methodology and digital tool that automatically tracks emissions across project lifecycle, integrating data science, ontologies