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participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira José Lima Inês Sena 11. Method of publication
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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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programming languages—specifically C, C++, and Python—applied to the development of robotic and autonomous systems; - Prior experience in computer vision and image processing using OpenCV, including object
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Computer Engineering, Engineering Physics, Aerospace Engineering or related areas. Basic knowledge of electromagnetics/RF. MATLAB/Python, RF instrumentation, electromagnetic simulation (CST or HFSS), 3D
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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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requirements: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore structures and/or processing of sensor data. Skills in scientific programming (Python, MATLAB
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, Python, and others) for processing and statistical analysis; Practical experience in processing, analysing, interpreting, and visualising data in IES and cyclic voltammetry. Good oral and written
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an equivalent field.b) Experience with Python programming Additional Information Benefits Monthly Maintenance Allowance: €1,090.98 Funding Entity: Instituto Superior Técnico (IST) Operational Programme: Compete
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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experience in modeling (60%); b) Experience in participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira