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analysis in Matlab, Python, and/or a related programming language. Written and spoken English proficiency. International candidates that are not exempt from the English language requirements pursuant
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, MATLAB, Python) background in process safety, thermal system design, or energy storage is considered an advantage skills in technical writing, scientific publications and presentations a good command of
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the Norwegian educational system Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework for Bayesian inference Documented experience with programming in either Python or R. Foreign completed
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on MATLAB, Python, Julia, Javascript, DigiSilent Power Factory. Possesses a strong academic record, with relevant experience in either industry or academia, and can show experience from paper publishing. Has
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the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required
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relevant for the research program outlined above with a strong background in nuclear structure physics of exotic nuclei Expertise in scientific computing, including proficiency in C++ or Python programming
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experience coding within Unix-based HPC environments, and a background in MATLAB and Python programming languages would suit working with our existing code base Emphasis is also given to personal suitability
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for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge