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infrastructure to better predict and manage stormwater dynamics under climate-related uncertainty. It will also explore how to optimize design and operation strategies to adapt to future climate extremes. Possible
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reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl
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). For more information regarding this position, you are welcome to contact Nataly Banol Arias via the following email address: m.n.banolarias@utwente.nl. Screening is part of the selection procedure. About the
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are increasingly using self -funded services via pharmacies, getting both medicines and health advice to treat common infections without seeing a doctor. The vast “smart data” that these interactions are producing
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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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, supported by the Monash e-Research Centre, for high-performance transport and land use modelling. World-class transport modelling and simulation platforms (Driving Simulator, Data Visualisation Lab
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your EOI, nominate Dr Steph Hutchison as your proposed principal supervisor, and copy the link to this scholarship website into question 2 of the Financial details section. About the scholarship
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matter and computer simulations. Knowledge on programming is essential. Experience in using simulation packages will be appreciated. Excellent command in written and oral English (C1) Team player and high
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”, at Brunel University London, who must start by 1st October 2025. BCAST is a speciality research centre in metallurgy with a focus on processing of metallic materials for light weighting applications
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and