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or tools and methodologies for dynamical simulation. programming skills in Python, MATLAB, Modelica and/or domain specific tools used for energy system modelling and simulations. Emphasis is also placed
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learning models applied to material modeling. Proficiency in programming languages, such as Python, MATLAB, Julia, and C++, and molecular dynamics programs, such as LAMMPS, to predict mechanical/electrical
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the Regulations relating to the Act relating to Universities and University Colleges . It will be an advantage if you have Documented strong competence in programming, for example in Python. Strong analytical
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(e.g., Python/ MATLAB) and experience in conducting computational experiments. Personal qualities Ability to work both independently and collaboratively Strong ability to follow through on tasks and
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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
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fundamentals Experience with Python-based experimentation frameworks Familiarity with evaluation metrics (precision, recall, F1, statistical testing) Experience using local LLM infrastructures (e.g., Ollama
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Computer Science and Engineering Experience on programming languages such as Python, Java and Go Knowledge of cyber security techniques for overlay networks EVALUATION CRITERIA The selection will be based