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following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside
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degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R
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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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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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(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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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
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structure physics of exotic nuclei Expertise in scientific computing, including proficiency in C++ or Python programming Fluent oral and written communication skills in English Desired qualifications: It will
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techniques for screening plasmid libraries, such as phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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background in at least two of the following fields: computational physics, porous media physics, statistical physics. Experience with programming language (e.g., Matlab, Python) Fluent oral and written