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Field
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knowledge of numerous histological methods and imaging techniques The opportunity to pursue a doctorate Excellent facilities and equipment A wide range of opportunities for cooperation at local, national and
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methods that are data-efficient, reliable, and deployment-ready. Aims Advance operator-learning architectures for transient heat transfer in complex geometries, integrating physical priors (PDE structure
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PhD; Excellent master's degree in computational science, physics, mathematics, chemical engineering, or a related discipline; Experience in mathematical modelling and numerical methods for ordinary and
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Methods Volcanic eruptions threaten 10% of the world’s population. To enable eruption forecasting, carry out hazard assessment, and mitigate risk, a thorough understanding of volcanic unrest is essential
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-driven modelling and numerical mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing
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and youth studies, particularly health and risk behaviours of adolescents Familiarity with quantitative research methods Knowledge in statistics (descriptive and inferential analysis) Ability to work
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Methods The stratified atmospheric boundary layer is a key component in high-impact weather and climate predictions. Forecast applications include: polar surface temperatures, the timing of thunderstorms
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mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving
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on regional-scale modeling and simulation of subsurface flow and geomechanics, including associated numerical and computational methods. Topics may include upscaling, numerical analysis, and the design and
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Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC experience is a