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deformation microscopy, high-field MRI, clinical MRI, PET-MRI, and molecular read-outs. •Applying inverse finite element modeling (FE modeling) for the multiscale mechanical characterization of cartilage
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biological models, an international consortium of leading colorectal cancer scientists, clinicians and mathematicians will explore the mechanisms of evolved adaptive response to therapeutic selective pressures
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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(Microbiology & Immunology, University of Michigan) Responsibilities: • Develop SciML methods for learning ODE, PDE, and stochastic models from ABM simulations and multiscale spatial-omics data. • Integrate
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for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent
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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
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Full time, fixed term for two years Opportunity to join the School of Medical sciences as a Post-Doctoral Research Associate in Multiscale Systems Neuroscience Base Salary starting from $113,400
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 22 days ago
are central to a wide spectrum of industrial and environmental processes. Yet, the mechanics of granular systems remain opaque due to their multiscale, nonlinear, and history-dependent behaviour
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: Experience in one more of the following areas: Mathematical methods for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks