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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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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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surgery. However, the growing use of TAVI has also increased the need for accurate methods to assess valve disease, identify patients who will benefit from intervention, determine the optimal timing
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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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corresponding qualifications that could provide a basis for successfully completing a doctorate. A strong knowledge base in applied thermodynamics, and modeling, simulation, and optimization of energy systems
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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
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; Knowledge of TDOA-based localization, multilateration, or positioning systems; Experience with Kalman filters, nonlinear optimization methods, or target tracking algorithms; Knowledge of distributed