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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
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with pre-registered protocols experience with qualitative coding. Minimum requirements: Knowledge of Python; strong oral and written communication skills in Portuguese and English; availability to work
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analysis, including time-domain, spectral, and statistical analysis; Programming experience in C/C++ and Python; Knowledge of development in an embedded Linux environment; Experience producing scientific
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approaches; - Advanced programming skills (Python or equivalent). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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of digital signal processing and data analysis; Knowledge of applied mathematics, statistics, and estimation; Knowledge of scientific programming in Python and/or MATLAB; Programming experience in C/C
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automated systems in a laboratory or industrial environment. • Knowledge of C++ and Python programming. • Knowledge and experience with the ROS/ROS2 framework. 5. EVALUATION OF APPLICATIONS AND SELECTION
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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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tools such as Python, R, or equivalent. Experience in Project management. Proficiency in Portuguese and English. Preferred qualifications: - Experience with quantitative methods applied to engineering
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) analysis for floating ORE systems. Experimental skills in ocean basin testing, instrumentation, and calibration of mooring and cable systems. Proficiency in Python and/or MATLAB applied to numerical
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to underwater robotics, marine robotics, deep-water systems, underwater navigation, sensor fusion or robotic systems for ocean science. ; Strong programming skills, preferably in Python, C/C++, MATLAB