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techniques for effective analysis of massive-size geophysical data. The goal is to develop algorithms for classification and predictions that enable early warning systems in various geosciences applications
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for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System Operation and Analysis (PSOA
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Data analysis and publication Participate in professional development and knowledge dissemination within relevant topics Active participation in research group meetings via Unsplash Qualification
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the scope described above. Study existing and proposed electricity market designs and their suitability for zero-carbon energy systems. Conduct theoretical and simulation-based analysis on the impact of
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Science, Atmospheric Science, Environmental Science, or related fields · Good knowledge and skills in statistics and programming (e.g. R or Python) is required · Experience with data analysis related
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the research project, including the precise formulation of the problem statement. conducting a comprehensive literature review. designing the research methodology. performing empirical analysis. publishing
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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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population genomic analysis) Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master's students can apply, but the master's degree
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the gap between numerical simulations and clinical practice. The candidate will work alongside experts in solid mechanics, finite element analysis, and machine learning and cardiology, benefiting from
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria A strong interest for multi-disciplinary analysis of buildings and / or