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challenge will be to formalize the type of dependency between subsystem characterizations that can be included in the analysis and synthesis (estimation filter) methods, while preserving the convex character
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of microstructures, physics-oriented microstructure descriptors discovery based on the use of RRAE (rank reduction autoencoders) and neural operator approaches designed to approximate the solution of complex
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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the partner teams and a theory/experiment dialog will allow to enrich the project. The person recruited will have the opportunity to use a large panel of theoretical chemistry and molecular modeling methods
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
abstract representations. The FAMIX metamodel of the Moose platform (Anquetil et al. 2020) models software systems as entities (classes, methods, attributes, etc.) and relationships (calls, inheritance
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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of microstructures, physics-oriented microstructure descriptors discovery based on the use of RRAE (rank reduction autoencoders) and neural operator approaches designed to approximate the solution of complex
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
macromolecular complexes (~5.5 billion frames) [1], and the first MDDB node in France ComPASS, a graph-based method for identifying communication networks in protein–protein and protein–nucleic-acid assemblies [2
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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personnel. It is necessary to realize experience feedback on cases for which extinguishing, means were insufficient and find new indicators, notably biochemical, to better estimate the potential firepower in