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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 30 days ago
, 'numerical' tests will be carried out on laboratory structures. The second challenge will be to extend the model in order to deal with multi-cracking (an important point will be how to manage the ramifications
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The »Grid-free Methods« department at the Fraunhofer Institute for Industrial Mathematics ITWM focuses on the modeling and efficient simulation of complex industrial problems for the design and
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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Institut de Chimie des Substances Naturelles (ICSN), CNRS, UPR 2301 | Gif sur Yvette, le de France | France | 12 days ago
cluster proteins. These proteins are essential for numerous fundamental cellular processes, including respiration, mRNA translation, and DNA replication and repair. Mutations in FDX2 disrupt the formation
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interactions make direct numerical simula- tion computationally challenging. The project will examine whether modern ML techniques— such as surrogate modelling for parts of the physical process—can improve
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Details Title Postdoctoral Fellow – PKPD Modelling, Lung-on-Chip School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss Institute’s
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properties, scatterometer wind products are commonly estimated from empirically derived geophysical model functions (GMF). The scatterometer-derived ocean surface wind vector data have proved to be very useful
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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based
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Numerical analysis of fully explicit phase-field models for dynamic fracture of materials H/F Numerical analysis of fully explicit phase-field models for dynamic fracture of materials Understanding
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the development of numerical models. Metrics to quantify damage detection effectiveness, such as Probability of Detection (POD) and Model-Assisted POD (MAPOD), will be identified to develop a figure of merit