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missions within the framework of this ERC: i) to develop new models for the geometry of the cosmic web, taking into account the bias of baryons, and ii) to implement “nulling” techniques to predict the weak
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will use the information extracted from technical drawings and documents to predict manufacturing operations (cutting, bending, welding, etc.) and estimate their cost or duration based on internal
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data in order to predict the effects of ionizing radiation on living matter and to contribute to the development of innovative radiotherapies. These developments are carried out within a multi-scale
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Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | 4 days ago
You will make predictions of deleterious mutations using methods based on evolutionary conservation and machine learning You will evaluate the impact of domestication and selection on genetic load and
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nanoparticles, whose manufacture is generally based on “trial & error” methods. Thus, the aim of TOSCaNA is to develop an experimental approach and a CFD formalism for predicting the size and morphology of metal
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the strategy to be applied for training a learning model to predict wind and precipitation conditions based on a dataset combining numerical weather prediction models and in situ observations; Collect
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the execution of hydro-chemo-mechanical loading and the monitoring of the animal's response to material integration should provide sufficient data to enable the construction of predictive tools. Currently
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by Professor Cédric Mauprivez aims, among other things, to improve sinus lift surgery through the use of preoperative digital assistance tools and repair prediction tools. This application is being
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predictive models. Leesu coordinates since 1994 the OPUR observatory of urban hydrology, a long-term research project and a means for structuring scientific expertise in the Paris metropolitan area. LEE (https
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development to join the INFRES department at Telecom Paris. As part of the PEPR ENSEMBLE programme on the future of digital collaboration, the ACES team invites applications for the PEPR postdoctoral funding