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mechanical criteria for the analytical modeling of wetting on multiscale surfaces ", Colloids Surf. A: Physicochem. Eng. Asp., 2023 [Accepted manuscript. DOI: 10.1016/j.colsurfa.2023.132877] [4] https
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wetting on multiscale surfaces: Of the importance of nanoscale topography for water-repellency", Colloids Surf. A: Physicochem. Eng. Asp., 672, 2023, 131752 [3] Bami Chatenet Y. and Valette S., "Critical
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vehicle. Multiscale simulations of the downstream expansion behaviour of the residuals for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected
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-the-art micromechanical testing infrastructure is in place for the experimental work in this project (www.tue.nl/multiscale-lab ). Where to apply Website https://www.academictransfer.com/en/jobs/356777
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collaboration with academics from the Bristol Composites Institute and Rolls-Royce PLC. This will entail introducing and validating finite-element based multiscale and multi-physics modelling methodologies and
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of the re-entering vehicle. Multiscale simulations of the downstream expansion behaviour of the residuals for different atmospheric layers. Definition of suitable interfaces to process data for the climate
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structures/bridges, multiscale modeling and characterization, computational structural mechanics, resilient and sustainable infrastructure systems, nondestructive testing, sustainable construction materials, 3
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Job related to staff position within a Research Infrastructure? No Offer Description PhD studentships are available to work on the project A multiscale perspective on multitrophic interactions of bats
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5168-JOHDEC-027/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Research
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 1 month ago
, and F. Lavigne, “Gain modulation of actions selection without synaptic relearning,” PLoS ONE, 20(9): e0333350, 2025. Mei, E. Muller, and S. Ramaswamy, “Informing deep neural networks by multiscale