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-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination, redox states, and catalytic intermediates. You will work closely with colleagues spanning protein
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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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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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, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong
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are generally costly to repair, methods that can precisely and rapidly locate faults or even faults under development are of great value. Localization of very critical cable sections that are close to failure
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criteria Experience with large C++ code bases Experience with MLIR and/or LLVM frameworks Experience with Precision Tuning and/or other approximate computing methods Experience with one or more heterogeneity
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, power, specific topologies, their control methods and suitable power semiconductors technology. The PhD candidate will work in the 300 MNOK Centre for Environment-Friendly Energy Research (FME) “Maritime
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interdisciplinary center with joint efforts in theory, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by