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species and vegetation ecology), advanced statistical modelling using R software, and conducting fieldwork under harsh environmental conditions. A successful applicant should have good skills in English and
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metocean and biogeochemistry models accounting for climate change impacts across Europe (from the Nordic Seas to the Black Sea and Mediterranean Sea) and the Pan-Arctic region. The PhD project focuses on new
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models. The Department of Manufacturing and Civil Engineering is one of eight departments in the Faculty of Engineering. Apply for this job Deadline 6th October 2025 Employer NTNU - Norwegian University
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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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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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, spectroscopy suites, crystallography access, and facilities for handling air-sensitive metalloproteins/complexes. We offer comprehensive training across these methods as needed; strong motivation, curiosity, and
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inspired AI, artificial life, complex systems, and related fields Interest in fundamental AI research, neuroscience, biology, and music Proficiency in oral and written English Relevant publications Good
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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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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict