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support the development of safer flood defence systems and more reliable flood risk assessments. Your responsibilities As a PhD researcher, you will: Develop continuum-based two-phase models to predict
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disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
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and numerical models that predict material deformation, force transmission to cells and the resulting changes in cellular mechanics and signalling. The position is primarily computational, but a
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estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate their accuracy, robustness, computational
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geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory investigations and geochemical modelling. Specifically, you will: Characterise
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1st November 2026 Languages English Norsk Bokmål English English Molde University College announces PhD Position in Transport Modelling for Sustainability Transitions Apply for this job See
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‑powered system that integrates real‑time EC identification using non-target high resolution mass spectrometry (HRMS) data, toxicity prediction, and transformation product (TP) modelling into an early
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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, bases, and cleaning chemicals used throughout industry today? How do local pH conditions develop near electrodes and membranes in electrochemical systems, and how can they be controlled? In this PhD