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partners. The PhD project is focused on quantifying the role of blowing snow in driving accumulation and sublimation in mountainous conditions using numerical models. The simulation of blowing snow in local
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or the adaptation of existing tools and techniques for spatio-temporal analytics, such as representation, exploratory visualization and theories and mathematical model development of spatio-temporal data. Support
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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loadings. It combines experimental data, finite element simulations, and probabilistic models. Results depicted on Fig. 1 and Fig. 2 show high extrapolation and interpolation capabilities of the obtained
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seeking 2-3 postdoctoral researchers for projects related to mathematical modelling and epidemiological analysis of HIV epidemics in eastern and southern Africa. Postholders will be responsible
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predictive control, maritime systems, or modelling and simulation of complex engineering systems. Strong programming skills and a solid foundation in mathematics, and dynamical systems. Personal qualities
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for data processing and analysis will be used. The fellow will also take part in modeling and simulation activities, as well as in the dissemination of results. Specific tasks include: A2. Data Collection
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. The project will require an interdisciplinary effort, combining epidemiology, statistical modelling, and software development. In this role, you’ll lead the design and implementation of simulation studies
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning
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statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets. Advise