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of method for 30 years, the aim here is to experiment with recent techniques, which will be able to exploit spatial patterns, manage missing data, and estimate uncertainties This type of work is always
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imaging techniques) to the resulting visual appearance (measured with appearance-based methods). The post-doc will be supervised by Bilge SAYIM at the École Normale Supérieure (ENS), Université PSL, within
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, itself part of the LIGO-Virgo-KAGRA consortium, has established a recognized expertise in the theoretical modeling of ultra-dense stellar matter and the development of advanced statistical methods
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, the successful candidate will focus on generating iridescence effects tailored to the requirements of our industrial partners. Furthermore, they will employ numerical methods to elucidate the light-matter
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to organize own work with minimal supervision • Ability to work as part of a team • Advanced computer and AI skills • High level analytical capability • Ability to apply relevant models, techniques and methods
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correlations. This study will be conducted in collaboration with specialists in microscopy, RX and optical methods, and modeling (DFT/molecular dynamics). - Modeling the NMR parameters of selected lithium
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changes in land use and land cover, employing participatory methods to co-develop prospective scenarios with local stakeholders, and leveraging legal and regulatory frameworks governing land management
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thunderstorm structures, delving deeper into these issues is becoming necessary to develop a conceptual model of rain-generating systems and estimate their response to climate change. The aim is to link
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and detection of climate extremes, hydrological modelling, or statistical downscaling methods. • Experience in handling large datasets (simulations, satellite data, etc.) and using computing clusters
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particular interest in digital humanities methods. The postdoctoral researcher will work in close collaboration with the team's permanent staff and PhD students, as well as with the permanent and contractual