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have an academically relevant background within Learning Technologies, Interaction Design, Human-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer
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/communication devices are still complex. Therefore, to overcome these challenges, the solutions have been pointed to separate the functionalities and the hardware dependency by applying virtualization methods
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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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distribution modelling Experience with 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
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monitoring system with contactless sensor which can be integrated to existing data acquisition system enabling to monitor wind turbine health as well as estimating remaining useful life (RUL). This PhD project
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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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, 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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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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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