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ecological knowledge and biodiversity observations into model development and evaluation. Evaluating model generalization and transferability across forest types, environmental gradients, and geographical
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Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up
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20th October 2026 Languages English English English The Department of Biology has a vacancy for a PhD Candidate in Modelling Marine Larval Dispersal and Spatial Population Genetics and Demography
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback
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21 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Civil and Environmental Engineering Research Field Engineering
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share your interests? Maybe you can become our new colleague at the Department of Process, Energy and Environmental Technology at The Faculty of Technology, Natural Sciences and Maritime Sciences
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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benchmark chemometric and physics-informed machine learning models to monitor, forecast, and ultimately control critical process parameters, implanting these models in advanced control frameworks to optimize
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in one or more of the following: railway engineering, infrastructure maintenance, rolling stock, condition monitoring, sensor data analysis, statistical modelling, machine learning, life-cycle cost
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productive academic team with a strong international network covering radiochemistry, radioecology, environmental chemistry, nuclear waste management and environmental modelling. The successful candidate will