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involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. Your Profile: A Masters degree with a strong academic background in physics
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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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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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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& 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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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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. Validate and test these models in simulated and/or real-world team environments. Collaborate in an interdisciplinary setting and contribute to high-impact publications. BINDING LEGISLATION Law 40/2004
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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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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