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on optical transmission through falling snow and the models we have are inaccurate. By conducting experiments in Arctic weather over a longer period of time, at different geographic locations, we hope to build
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dynamic environments, utilising Vision, Language, and Action (VLA) models. The candidate will focus on designing novel training regimes and/or novel architectures for learning in embodied environments
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Infrastructure? No Offer Description Work group: PGI-12 - Quantum Computing Analytics Area of research: PHD Thesis Job description: Your Job: Research: employ on quantum field theory in curved spacetime to model
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design of experiments strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently
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landscapes, including our partners at the UK CEH. Eligible candidates must have a background in simulation modelling and a proven ability to communicate results. They should have obtained, or will soon obtain
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of rainfall, drainage capacity, and 3D urban form on flood severity • Validate results with hydrodynamic simulations and 3D urban semantic models, benchmark against state-of-the-art methods, and publish in
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introduced into the PhD trajectory and scientific working. You will alongside the developers of UT’s global crop water model ACEA (Mialyk et al. 2024) and improve the model’s ability to provide recurring
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experimental approaches, with theoretical activities focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics
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large erosion pit during a breach, iii) a flood wave much more powerful than water in terms of transport capacity and destruction of buildings. Analysis of the state of practices does not show a model
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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct