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/Python are an advantage. The candidate will work in a very ambitious interdisciplinary setting, which will require high flexibility, the ability to work under pressure, and the ability to work
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language (e.g., Matlab, Python) Fluent oral and written communication skills in English (see below) Additional desired qualifications: Experience with the theoretical description of transport processes
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publications, showcasing research interest and experience in the core areas of the position. The ideal candidate should possess strong analytical and problem-solving skills, and be proficient in Python and
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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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streams over time based on real-time achievement and applications are the key part of the research. The Postdoctoral Fellow will use building simulation tools and programming tools such as MATLAB or Python
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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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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
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Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
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experience in the core areas of the position. The ideal candidate should possess strong analytical and problem-solving skills, and be proficient in Python and familiar with relevant programming frameworks and