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scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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activities will consist in: 1. developing steganalysis methods based on incompatibility search (i.e. study the fact that elements of the image are not compatible with natural images). 2. security analysis
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criteria Skills in experimental research are desirable. Knowledge of the scientific literature in numerical cognition and/or developmental psychology will be considered an advantage. A background in
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numerous academic partners. Working conditions: - Easy access to the Cronenbourg campus by public transport - The CNRS may cover part of the cost of travel tickets - Meals are available at a university
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Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The advent of large galaxy surveys such as Euclid poses numerous modeling challenges
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project will combine data analysis and method development
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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of electrical charges at extremely small scales. However, these processes occur in trillionths of a second, far too fast for current methods to capture. The ERC-funded UltraWave project aims to overcome