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Field
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on their suitability during reconnaissance field work. The research will involve a combination of several potential methods, including detailed field work, petrography and microstructural characterization, scanning
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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the position. The position will be supervised by Prof. Casper Boks from the Department of Design and Dr. Stepan Vesely from the Department of Psychology. The Head of Department will be your immediate superior
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1 September 2026. The successful candidates will be employed in a full-time (100%) position for a period of three (3) years, with the time required to complete the training component of the organized
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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strategic research area on Energy . Additional opportunities linked to this initiative can be found at https://www.ntnu.edu/energy/announcements . The main supervisor of the candidate will be Prof. Ann Mari
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-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
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the position. The position will be supervised by Prof. Casper Boks from the Department of Design and Assistant Professor Erica Löfström from the Department of Psychology. The Head of Department will be your
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be met: Advanced methodological knowledge in the form of completed master's course or documented exam in methods / theory of science at master's level A Scientific article assumed in a peer-reviewed
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statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Management Science Dissertation on a topic in logistics, operations management