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- NTNU - Norwegian University of Science and Technology
- Nord University
- University of Bergen
- University of Oslo
- UiT The Arctic University of Norway
- NHH Norwegian School of Economics
- Norwegian University of Life Sciences (NMBU)
- Molde University College
- NORCE
- Norwegian Institute of International Affairs
- Norwegian Meteorological Institute
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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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data analysis workflow from data import/cleaning to descriptive statistics and at least one inferential model. Code must be included and clearly commented. This is required to demonstrate advanced
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cases for the position are related to virtual flow metering and well inflow applications. Research tasks include feature identification and selection for robust and trustworthy models. The PhD candidates
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production, climate and environment. The faculty is an international arena for education, research and knowledge dissemination, with employees and students from 39 different countries. The faculty offers a PhD
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amine-based CO2 capture plants. This position at the Department of Chemical Engineering at NTNU focuses on chemical absorption and, more specifically, on the modelling of solvent degradation. Carbon
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with—or documented interest in—advanced statistical methods for causal inference in observational data, model-based imputation, genetic epidemiology, or the application of machine learning to registry
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diagnostics (theranostics), focused ultrasound (FUS), and molecular imaging (PET/SPECT). The PhD candidate will be responsible for conducting preclinical studies using animal models of glioblastoma, including
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coastal climate and hosts rich opportunities for culture and outdoor activities, as well as a family-friendly environment. To explore the city, go to visitnorway.com . via Unsplash Application requirements
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, model-based imputation, genetic epidemiology, or the application of machine learning to registry data is highly valued. Clinical experience with patients suffering from headache disorders is considered
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: climate policy, pandemic preparedness, good governance, and education indicators. Successful candidates will be expected to conduct research and publish in leading peer-reviewed journals, to engage in