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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days ago
. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R, or similar
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the following factors will be considered: a) Academic background (Master's degree average up to 16.0 points – 1 point, >16.0 points – 5 points); b) Experience in programming languages, including Python, C++, and
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applied to document analysis; vi) familiarity with qualitative and quantitative analysis software with textual analysis and natural language processing tools, with experience in Python or R (advanced
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analytical and research skills, as well as proficiency in English, both written and spoken. Preferential factors include: Knowledge of data analysis tools (e.g., Excel, SPSS, R, Python or similar); Familiarity
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: Basic or intermediate knowledge of energy systems or complex technical systems Experience with data analysis tools (e.g., Python, MATLAB, or similar) Ability to understand and support technical model
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, Python. • Written communication skills and ability to produce technical and scientific articles for the dissemination of R&D results. • Fluency in English (written and spoken). *Proof of compliance with
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software such as STATA, R, or Python. Potential to publish articles in high quality international academic journals. Ability to work in teams as well as independently. Written and spoken proficiency in
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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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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