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networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and run large-scale multi-physics
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multiphysics simulation and experimental tests to provide a deep understanding of the mechanisms governing smoldering fire in insulating biobased concretes, and subsequently to propose protective solutions
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for the calculation of the importance of systems, structures, and components—and, more generally, of parameters or variables—in the modeling of complex technological assets, by leveraging modern computer simulations
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Avignon, Provence Alpes Cote d Azur | France | about 6 hours ago
experiments and the use of models. This research project will provide inputs for the assessment and design of agroecological systems for the horticultural sector, one of the major themes of the PSH unit
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. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning. Your tasks: Development and comparison of data driven models for the prediction of stresses in
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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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Develop and validate material models and performance predictions using simulation tools Integrate materials into injection moulding and extrusion processes through prototyping Collaborate with
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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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project is one of two within PAST. As a PhD candidate your goal is to conduct new climate model simulations of the Last Interglacial, with a state-of-the-art climate model (CESM). From these results, you
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st April 2026, or as