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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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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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: 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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, the PhD candidate will either model the redistribution of a focal animal or herbaceous plant species, or simulate changes in potential animal and plant diversity at the ecosystem level. References: Chuine I
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) advanced modelling, simulation and optimisation techniques in a complex uncertain environment for the design of a SAACD. The working approach is based on four successive and iterative phases, making it
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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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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | about 8 hours ago
(electronic health records (EHR), signals, images, text) Medical digital twins and simulation Conceptual and computational models of digital patients or organs Application to personalized medicine, polypharmacy
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are seeking a scientist with: Expertise in image-based biological tissue modeling and simulation Good command of deep learning Expertise in coding and
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: 10.1038/s41467-023-39181-2 Research area: Computational biophysics, drug delivery, protein design Keywords:Computer simulations, coarse-grained model, molecular dynamics, membrane fusion, fusion protein
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CORE A*/A conference paper. We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s