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will design a novel, highly coarse-grained model of the nanocarrier and use Brownian dynamics simulations to investigate its assembly and disassembly mechanisms in relation to nutrient loading capacity
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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research project with Principal Investigator (PI), Co-PI and the research team members to develop an onboard microgrid simulation model with energy management. Work with research team to deliver the work
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
curly fibers. Additionally, in many cases, the underlying model for the simulation is not systematically tested for its validity. To bring a breakthrough on the realistic simulation of frictional fibers
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how these factors influence performance, safety, and lifetime predictions. Your research will involve constructing probabilistic and statistical models—such as Bayesian inference, stochastic simulation
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling
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Responsibilities: Conduct experiments, simulations, and modeling as part of the research activities, and regularly present your results to the group. Contribute to laboratory management, mentor undergraduate and
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
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advancing the application of explainable AI methods for cosmology. Fellows will work at the interface between observations and simulations, developing tools to extract cosmological insights through simulation