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Field
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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research institutes from 7 European countries (Belgium, Denmark, Italy, Germany, Slovenia, United Kingdom, Spain) and in the United States of America, including secondments to numerous industrial companies
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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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some other way. The position also requires: good knowledge of physics, numerical methods, statistics and/or machine learning, good programming skills, for example in Python, Julia, C++ or equivalent, good
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microstructure. An integrated numerical-experimental approach is generally adopted for this goal. A state-of-the-art computing infrastructure is in place for the numerical work in this project. PhD projects
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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their influence on climate. The team also has extensive expertise in the development of numerical and statistical models. The Inria AIRSEA project team at LJK develops mathematical and numerical methods
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C
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doctorate, contains: Artificial Neural Networks and Large Language Models offer state-of-the-art performance at numerous AI tasks, but being black boxes, they lack explainability which makes them difficult
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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written