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Field
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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insights into MCTP action and ER tubularization at PD, the post-doc will use molecular modeling and dynamics. - undertake simulations - present results in team meetings - present results as scientific
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yield stress, viscosity, and elasticity. Simplified mucus models will be employed to capture the influence of its key features, typically using Bingham-elastic or Herschel–Bulkley fluid models. The study
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, under the task “Modeling Biological Effects”, the appointed researcher will carry out a comprehensive review of published biological evidence and mechanistic models, with a particular focus on
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will combine cutting-edge experiments led by S. Harmansa and sophisticated modelling/simulation under the guidance of A. Erlich and J. Étienne, with an aim to understand the fundamental mechanics
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contribute to various aspects of the project, such as: - developing new theoretical approaches to model electrode/electrolyte interfaces - performing molecular simulations, such as molecular dynamics
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LevelPhD or equivalent Skills/Qualifications Process modelling and simulation. Experimental approach. Process engineering. CFD Internal Application form(s) needed Post_DOC_RPB_IMOSCYCA_2026.pdf English
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accessible observables in attoscience. The postdoctoral researcher will carry out methodological developments and advanced numerical simulations to explore these ultrafast dynamics in exotic systems. -Develop
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machine learning - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results - Integration within the BioDiv team at IBENS - Availability of work
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose