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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
research subject:https://www.defrost.inria.fr/project/horizon-europe-ire-2024-2028/ (project page) and https://www.defrost.inria.fr/research/publications/ (DEFROST team publications) Collaboration
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of biomechanics, robotics, imaging, and biology, within a stimulating interdisciplinary ecosystem. - main mission: To develop and integrate a robotic platform for multiscale biomechanical testing of murine
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. For more information about the Mathematical Institute, see https://www.universiteitleiden.nl/en/science/mathematics . Multiscale Mathematical Biology - The work will be embedded in the interdisciplinary
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Duke University - Biochemistry & Cell Biology | Durham, North Carolina | United States | about 2 months ago
virtual cells, drug-target interactions, biomarker discovery, or other AI/ML approaches for spatial, multi-omic, genomic, and proteomic datasets, biological imaging, or multiscale modeling. Particular
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The Department of Biology at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) (https://www.biologie.nat.fau.de) invites expressions of interest from outstanding early-career researchers who
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processing of materials, with specific interests including, but not limited to: Quantum Materials & Devices: Design, synthesis, and multiscale modeling of materials for quantum computing, light-driven
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Microscopy - Analyze multiscale data to connect local atomic disorder with mesoscale degradation (e.g., particle fragmentation) - Collaborate with the group of Prof. Mathias Vandichel, University of Limerck
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biology, multiscale modeling, mathematical physiology, simulation, machine learning, artificial intelligence, human-computer interaction, data integration, and mathematical and predictive analytics to marry
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development for brain-cerebrovascular system. The successful candidate will work on and contribute to ongoing research projects that solve problems related to the brain by developing multiscale/multiphysics
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structure and hydrogen migration pathways. Integrated Approach and Modeling Framework The project is based on a multiscale observation strategy that combines dense nodal seismic networks, distributed acoustic