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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
will be carried out in INEGI or FEUP facilities in Porto. 4. Academic Qualifications: Master’s degree in mechanical engineering. Proficient knowledge of programming languages such as Python or others
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
: Professor Francisco Pires (FEUP, INEGI). Members: Professor Abílio de Jesus (FEUP, INEGI) and Dr. Margarida Machado (INEGI). Alternate Member: Dr. Isabel Horta (INEGI). 6. Admission Requirements 6.1 General
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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