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professional curriculum such as: - Experience with computer programming and system administration (Python, Java Script, Web programming); - Proven experience with DevOps tools and practices (Docker, Kubernetes
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Informatics, Digital Arts, Creative Computing, or related fields. • Knowledge of IoT, creative programming, Artificial Intelligence tools, and/or data visualization (e.g., Python, Processing, TouchDesigner
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environmental and ecological data; knowledge of, or interest in, statistical data analysis using programming tools (R, Python, MATLAB, or equivalent); and the ability to work collaboratively in interdisciplinary
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 21 days ago
). Experience in machine learning methods, including data preprocessing, model selection, and performance evaluation. Familiarity with programming languages commonly used in these domains (e.g., Python, MATLAB
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into R&D projects. The following requirements will be preference factors: • Programming skills, namely in the field of the R language; • Digital skills in R, Python, SAS; • Ability to implement
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using forest inventory data and auxiliary remote sensing data – 10%; v) Experience in programming and tools such as Python, SNAP, C/C++, and R – 5%; vi) Experience in forest modeling and forest growth
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Forests and neural networks. b) Basic programming experience in Python and familiarity with libraries such as pandas, numpy or scikit-learn. c) Experience in processing and analysing data from electronic
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models for the sports domain; • Experience in Python programming; • Knowledge of Data Science. Additional Information Benefits Monthly maintenance allowance amount: The amount of the monthly maintenance
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/NS3, supported by strong software programming skills in either Matlab, Python, or C/C++. Selection process Selection criteria: Curricular evaluation (100%) - the evaluation of the application will focus