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signatures of Dark Matter as well as studies of the CP properties of the Higgs boson. The group focuses on final states containing several tau-leptons. The analysis activity is now extended to include generic
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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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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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attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5 pages, using a template based on the evaluation criteria), must be relevant to the AI-related
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their final master exam before 01.08.2025. It is a condition of employment that the master's degree has been awarded. Experience of structural geology and basin analysis is a requirement. Experience of
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the project choice. Applicants must demonstrate sufficient technical skills required for their proposed project, for example prior experience in photogrammetry, time-series analysis, or cryospheric