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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 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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: 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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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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, 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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/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
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with Linux, Docker, MongoDB, PostgreSQL, and Opal technologies; - Experience with CI/CD methodologies and technologies; - Software development experience based on JavaScript (ReactJS, NodeJS) and Python
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with different programming languages, including C, Python, Go, and Rust
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experience in a professional context; - Experience in developing software based on JavaScript (ReactJS, NodeJS) and Python; - Experience with the use, integration, and development of APIs; - Experience in
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learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION