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for a duration of six years. NumPEx contributes to the design and the development of numerical methods, software components and tools that support future productive European exascale and post-exascale
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
work will consist of optimizing the codes that generate input data and process output data. • The postdoctoral researcher will carry out comparative work using data from geodesy and seismology
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testing of concrete structures Good Knowledge of data science, e.g. optimization, machine learning, and structural sensing technologies Openness to interdisciplinary research and commitment to teamwork
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. The BERNARDO project aims to meet this challenge by designing nanostructures optimized to maximize these observables and by establishing fundamental connections between near-field and far-field chiral phenomena
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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therefore to build up a database of these kind of events (both numerically and experimentally). To experimentally investigate turbulent flows, the SPHYNX team at SPEC build over several decades and has
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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characterization of the material. - Establish and optimize experimental protocols. - Check the performance of the instruments. - Ensure the training and supervision of users. 2. Experimental characterization