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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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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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cutting-edge additive manufacturing techniques. This research will explore the design and fabrication of multiscale, programmable materials with embedded optical functionalities, enabling precise and
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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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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
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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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candidates to establish an innovative and internationally competitive research program in at least one of the following areas: Modeling RNA in Biological Systems: Development of mathematical, multiscale, and
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molten oxides at high temperatures; Modelling of heat transfer, fluid flow, mixing, and transport phenomena using multiscale modelling approaches combined with experimental validation. You will work