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interactions. Findings will inform studies on co-located multi-source energy systems at large wind park sites. Using advanced analysis and modeling, the research will support a framework for strategic renewable
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comprises a training component corresponding to 30 ECTS, which correspondsto one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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doctoral degree in digital culture, digital humanities, computational media, or a related field, including computer science if the dissertation project had a significant humanistic component. The doctoral
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analysis of versatile analysis tools for data from experimental research on porous media. The position will be linked to the Department of Mathematics and will work closely with the experimental activities
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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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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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component corresponding to 30 ECTS, which corresponds to one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign degree in digital
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sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5
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other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your application must include: Research