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: Wireless Communications Group: Mobile Systems - Av Work Objectives: Energy-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure
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: • Fluency in English and Portuguese, spoken and written • Experience in applied optimization • Knowledge of energy markets • Experience with storage, renewables and CO₂ emissions. Minimum requirements
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in applied optimization • Knowledge of digital twins • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge
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the following conditions: Scientific Area: Environmental Science. Admission Requirements: Master degree in Marine Sciences, Physical Oceanography, or other relevant fields; Knowledge of hydrodynamic processes in
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cycle or non-award courses of Higher Education Institutions. Preference factors: • Fluency in English and portuguese, spoken and written; • Experience in applied optimization; • Knowledge of digital twins
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nitrogen-rich fertilizer essential for optimizing crop yields and sustaining global food production. Currently, urea is predominantly synthesized through the Bosch-Meiser industrial process, which relies
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;Knowledge in the collection, processing, and analysis of data obtained from physical activity and exercise monitoring technologies (e.g., wearables, sensors, or equivalent systems);Knowledge of exercise
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or entropy coding; Knowledge of code optimization, parallel programming, and performance analysis, including computational complexity, throughput, latency, and memory management; Ability to work independently
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Optimization of Innovative Edible Solutions Derived from OceaNo", reference CENTRO2030-FEDER-02476000, funded by COMPETE 2030 - Innovation and Digital Transition Program/PT2030, through co-funding from
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during the grant is the design and implementation of a SQL-to-eBPF compiler that allows querying and correlating information about the state of the operating system. The work also aims at the optimization