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, INESCTEC / FEUP, Portugal Maintenance stipend: 1359.64, according to the table of monthly maintenance stipend for FCT grants (https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atu… ), paid
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knowledge about machine learning. Programming skills in Python. Preference factors: Experience in the development and application of machine learning algorithms to engineering problems; - Proven experience
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simulation; - Programming knowledge in Python; Minimum requirements: Previous academic background in electrical engineering, energy engineering, applied mathematics, computer science/informatics or similar 5
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analysis; - Experience with scripting for automating experiments (e.g., Bash, Python) and data analysis/visualization (e.g., Pandas, Matplotlib); - Experience with Git/GitHub for code management and
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; - Programming knowledge in Python; Minimum requirements: Previous academic background in applied mathematics or computer science or informatics or electrical engineering or similar 5. EVALUATION OF APPLICATIONS
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: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of energy systems. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
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knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous knowledge of physiological signal processing. 5
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of machine learning/deep learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION
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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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. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS