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SA3D project aims at building a harmonised large-scale 3D geological model of the Alpine region of Switzerland until 2030. Such 3D models support a wide range of applications, including, but not limited
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, durability and reliability. Key responsibilities include: 1. Numerical implementation of the developed crystal plasticity models 2. Generation of numerical models of polycrystalline
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Supérieure (LPENS) in Paris, while theory and numerical modeling will be carried out by CELIA and ILM. The necessary high-performance computing (HPC) resources will be made available as part of the project
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Geoscientist for developing and integrating large-scale 3D geological models of the Swiss Alps
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expertise in any area of mathematics who study or apply computational techniques such as artificial intelligence, data science, machine learning, statistics, formal methods, numerical methods, computational
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neutrality, conserving our planet’s limited resources, and driving the sustainable transformation of our economy. Our group "Material Modelling" uses modern numerical methods to theoretically address a wide
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assessment (LCA) and circular economy principles. Methodology The PhD project will combine: - Numerical modeling: Finite element analysis (FEA) to simulate soil-foundation interaction, degradation, and load
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dedicated to advancing antibiotic research through close collaboration among biologists, clinicians, and engineers. Its overarching goal is to rejuvenate antibiotic discovery by developing laboratory models
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behaviours. Various methodologies have been developed, including physics-informed ML approaches that use numerical modelling to create synthetic datasets (e.g. Tristani et al., 2025). Additionally, approaches
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for runoff quality studies, conducting laboratory analyses, conducting statistical or numerical analyses, or conducting computer modeling/geographic information (GIS) analyses. This is a part-time, off-campus