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Field
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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real-world quantum computers. The project combines numerical analysis, scientific computing, quantum computing, and aerospace engineering in an exciting interdisciplinary research environment. You will
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: www.uu.se/earthsciences Project Description: Per- and polyfluoroalkyl substances (PFAS) are highly persistent synthetic chemicals contaminating soil and groundwater at numerous sites in Sweden and globally
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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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interferometry, etc.), (v) Predictive modelling of coupled phenomena (reactive transport, rock-water interactions, etc.), (vi) Uncertainty quantification (Monte Carlo, meta-modelling), and (vii) Risk analysis. The
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. Nonlinear finite element modelling and characterisation Conduct numerical modelling via nonlinear finite element analysis and physics-informed neural networks Materials characterisation for soft, textile and
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vision, numerical analysis and computing as well as probability and statistics. What you bring Master’s degree in mathematics or equivalent, including a solid background in analysis, dynamical systems, and
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agentic software can change the way scientists interact with complex imaging pipelines – for example, by allowing users to formulate analysis tasks at a high level while software agents orchestrate
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ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação | Portugal | 2 months ago
: planning and execution of oceanographic campaigns; collection, processing, quality control and analysis of oceanographic and atmospheric data; numerical modelling with COAWST and associated tools