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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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Futures Observatories and remote sensing products to evaluate model performance and diagnose deficiencies. Comparisons to model predictions using the Cold Regions Hydrological Model, Canadian Hydrological
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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
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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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Global Change Group at Wageningen University and Research invites applications for a PhD position (4 years) in “Modelling non-CO2 greenhouse gas emissions from agriculture” starting in September 2026
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preparation, mesh generation, solver execution, and post-processing. Validate CFD predictions against experimental wind-tunnel measurements and establish best-practice guidelines for turbulence modelling and
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research fellows. The position is ideal for candidates interested in pursuing PhD studies in Economics, particularly those with an interest in psychologically-grounded economic theory. Fellows will aid
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mathematical foundations needed to make deep operators reliable, robust, and applicable for control of complex engineering systems. In this PhD project, you will investigate how operator-learning models can
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
investigations of meteorites as well as numerical modeling onstate-of-the-art supercomputers. The Department Solar & Stellar Interiors at MPS invites applications for the position of a Postdoctoral Researcher (f/m
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. The successful candidate will combine extensive experimental testing with insulation lifetime modelling to study PD inception, degradation and endurance, and to develop approaches for predicting insulation