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printing), enabling new design opportunities and advanced construction techniques. The research methodology combines theoretical modelling and experimental validation. The work will begin with an extensive
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16th November 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in Advances in Hydropower Inflow Forecasting Apply
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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control Advance the knowledge on grid protection, control and automation developments The main supervisor of the PhD candidate will be Professor Irina Oleinikova . Co-supervisors will be Professor Hans
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English English PhD Position at Biomaterial Science PhD Position – Serotonin Signaling in 3D Tissue Models Apply for this job See advertisement About the position / About the job Biomaterial Science (BIOMAT
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Technology » Energy technology Environmental science Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Oct 2025
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources
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production. The technological advances within cost-effective drilling have their starting point in the fracking industry, and other oil and gas industries. Mainland Norway consists mostly of igneous and
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, there is a significant need for technological advances and increased competitiveness to drive the growth of offshore renewable energies, and energy storage in the coming years. Within this context
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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