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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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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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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
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coupling systems.; • Develop technical skills in electromagnetic modeling and simulation tools, as well as in energy efficiency optimization algorithms.; • Consolidate the ability to write scientifically and
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applications.; - Advanced knowledge of 3D modeling (3D modeling, UV mapping, texturing, polygon optimization). Minimum requirements: - Experience with the Unity game engine; - Experience in creating 3D models
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-making methods powered by supervised and reinforcement learning, which aim at trustworthiness in AI-assisted human control with augmented cognition, hybrid human-AI co-learning and autonomous AI, with
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structures.; • Design and optimize, through full-wave electromagnetic simulations, a transparent unit cell operating in the FR3 frequency band.; • Investigate the integration of memristive switching devices