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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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, functionalizing graphene materials is not an easy task, especially if upscaling the method for large production volumes is considered. Several methods and functionalities are employed to improve the dispersibility
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Cookie-erklæringen var sist oppdatert 30.05.2025 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
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dioxide is the primary greenhouse gas emitted through human activities, and the development and implementation of technologies for emission reduction are of great importance. Of the various methods
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en
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, the Department of Design will contribute with two PhD students to establishing EPIs by developing and using innovative design methods to extend the space of imaginable policy pathways. This vacancy concerns one
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will be and what theories and methods you will apply. It must be clear from the application in what way the postdoctoral project will add to your competence and scientific development. The motivation
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are generally costly to repair, methods that can precisely and rapidly locate faults or even faults under development are of great value. Localization of very critical cable sections that are close to failure
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studies. Proficiency in relevant computational tools and statistical methods. Experience with machine learning in large datasets. Interest and motivation to work in a multidisciplinary team. Ability to work
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with methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with Stata, R, or other relevant computing languages Personal skills A collaborative