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: Collect and critically analyze relevant literature Build and analyze models for predicting dynamic trickle bed reactor operations, including material and energy balances, reaction kinetics, mass and heat
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, the effectiveness of Helix—and other advanced wake-mixing strategies—strongly depends on the accuracy of the wind farm models used to design and evaluate these control strategies. Improving the predictive capability
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of assembled satellite bus with launch vehicle and pad facilities. Identify, support/coordinate, and/or operate relevant simulations and analysis tools to predict, track, and redirect key mission performance
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"Water Availability, Variability & Scarcity (WAVES)". The group aims to advance a predictive, quantitative understanding of how scarcity emerges and evolves across regions and seasons by developing
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled
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). The position is part of the research project ThermRisk: A Personalized Digital Human Model for Predictive Thermal Risk Assessment. ThermRisk is a collaborative project between three faculties at HVL: the Faculty
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for understanding their reliability and for making informed decisions based on their predictions. This project aims to develop new methods for uncertainty quantification in mathematical and statistical models
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logistic regression, Poisson regression, Cox proportional hazards models, Kaplan-Meier analyses, generalised estimating equations and diagnostic prediction analyses. § Interpret findings within the context
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reinforcement learning, learning-based adaptation and control, physics-informed machine learning, learning-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning