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analysis, diagnostic, and modelling techniques. The research outcomes will contribute to a digital atlas that details shifts in wind power potential and the associated environmental conditions affecting
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. The candidate will employ a range of cutting-edge analysis, diagnostic, and modelling techniques. The research outcomes will contribute to a digital atlas that details shifts in wind power potential and
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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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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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with real-world programming language specifications and their analysis is an advantage. Experience with the Scala programming language is an advantage. Interest in programming language theory, language
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and their analysis is an advantage. Experience with the Scala programming language is an advantage. Interest in programming language theory, language design, and programming language standardization is
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analysis and modeling, the research will support a framework for strategic renewable energy planning, optimizing wind, wave, and solar integration, especially during peak production seasons. Qualifications
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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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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