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); programming for business analytics (Python, R); commercial analytics tools and databases (e.g. Power BI, Tableau, SPSS, SAS, SQL/MongoDB); and AI & data-driven decision-making (including generative AI/LLMs and
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analytics (Python, R); commercial analytics tools and databases (e.g. Power BI, Tableau, SPSS, SAS, SQL/MongoDB); and AI & data-driven decision-making (including generative AI/LLMs and responsible/ethical AI
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representation. ● Data analysis in Python – import from model, statistical processing, and representation. Scholarship 2 – hydro-ecological modeling ● Intermediate skills in MIKE21/3 numerical modeling
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, information systems management, software engineering, computer engineering, applied mathematics, civil engineering, environmental engineering, or related areas. Knowledge of Python, data processing, analysis
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cycle or non-award courses of Higher Education Institutions. Preference factors: Previous experience with underwater acoustic propagation. Minimum requirements: Knowledges of Python and C++. 5. EVALUATION
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) Knowledge of machine learning techniques, with an interest in exploring algorithms such as regression, decision trees, Random Forests, and neural networks. b) Basic programming experience in Python and
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) Knowledge of machine learning techniques, with an interest in exploring algorithms such as regression, decision trees, Random Forests, and neural networks. b) Basic programming experience in Python and
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digital humanities and data visualization; Experience using and intervening in CMS (namely, Wordpress and/or Drupal); Have proven programming skills (R, Python , PHP, SQL); Linguistic skills in