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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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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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systems, especially DMX. Networked audiovisual systems or real-time data streaming. Creative technology, interactive installations or media arts. Basic scripting/programming, particularly Python. Unity
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for Statistical Computing and with programming in the Python language. 5. Eligibility:Candidates who meet the requirements of point a) of paragraph 1 of article 2 of the Research Grant Holder Statute, as amended by
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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
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processing. Knowledge of machine learning and advanced statistics. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific