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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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involving robotics, computer vision, SLAM, mobile sensing, sensor fusion, or related areas will be valued. Criterion a3. Technical and programming skills (30%). Strong proficiency in Python or C++, and
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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
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programming languages and relevant bioinformatic tools (e.g., R, Python, Bash or equivalents); The development of activities in science communication and dissemination of scientific results; Interest and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
identification; Proficiency in Python and frameworks such as PyTorch, TensorFlow, etc.; Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development; Relevant scientific and
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learning and deep learning applied to electroencephalography in the context of brain-computer interfaces, including experience with MATLAB and Python and in the design and conduct of experimental studies