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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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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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oppdatert 11.07.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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programme. This normally includes: Applicants must hold a Master’s degree or equivalent in Economics, Sociology, Education, Psychology, Special Needs Education, or other relevant fields Master’s degree (120
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project itself. The remaining six months will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ PhD programme . The PhD programme comprises a training
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affiliated with the Vascular Biology Research Group (VBRG) at the Faculty of Health Sciences. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth
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within computer science, computational biology, bioinformatics, Physics, Mathematics, Biology (with strong programming skills), or related field., or must have submitted his/her doctoral thesis
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advanced computational methods. Knowledge of c++ program-ming language is particularly desirable Experience with supervising Bachelor/Master/PhD students Strong track record relative to the career stage
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/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with commonly used programming languages in the field (Python, MATLAB, IDL
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. Develop independence and be self-driven to advance with their research project. Work in an interdisciplinary team with expertise in mechanics, fluid mechanics, physics and biophysics. Follow our PhD program