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similar area The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Knowledge of Python
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of Python programming. - Development of IT tools for use in real environments. - Knowledge of simulation methodologies. Minimum requirements: Past experience (or academic training) in Artificial Intelligence
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: Advanced knowledge of a programming language (e.g. Python, C++). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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integration and thermal networks; • proficiency in Python; Minimum requirements: - knowledge in programming; - fluency in English and Portuguese (written and spoken). 5. EVALUATION OF APPLICATIONS AND
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and collaboratively.; - Fluency in English (spoken and written); - Fluency in Portuguese (spoken and written). Minimum requirements: - Knowledge of programming in Python, R and C; 5. EVALUATION
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; Minimum requirements: - Programming knowledge in Python/others - Fluent in English 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
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Security Minimum requirements: Python knowledge; Experience of developing software for data streams. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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devices. Minimum requirements: Advanced knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous
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and Linux; - proven experience in using Machine Learning techniques and programming with C++ and/or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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and real-world testing environments (e.g., automotive or robotics).; Minimum requirements: • Experience with software development (e.g., Python, C++) and basic knowledge of sensor systems. 5. EVALUATION