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challenges and the role of innovation processes and their integration into society. This work is carried out within the framework of projects, with both institutional and academic partners. The cluster now
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could utilize growing repositories of medical imaging data and patient-specific measurements to advance blood flow simulation, tissue mechanics modeling, or medical image reconstruction. Your choice
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-amu.fr Requirements Research FieldEngineering » Mechanical engineeringEducation LevelPhD or equivalent Skills/Qualifications • Education: PhD in Mechanics, Biomechanics, Medical Engineering, Numerical
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natural processes and technological applications, from atmospheric phenomena like rain clouds to industrial processes such as spray cooling of electronics. Due to their ubiquitous presence, droplets have
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this paradigm to general history-dependent / rate-dependent behaviours still remains challenging and will be addressed in this project. The paradigm of model-free data-driven computational mechanics (DDCM
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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria - The candidate must have a PhD in the field of organic chemistry for
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of exapted TE genes. To be eligible, the candidate must earn a PhD with less than 8 year of research experience in European labs, and has not spent more than 12 months in France over the last three years
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how varying gravitational conditions affect manufacturing processes. Desirable skills: Knowledge of experimental design for microgravity conditions (e.g., parabolic flights, drop towers) is a plus but
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iteratively, to achieve a maximum precision for the computational budget available [1]. However, adaptive processes for the selection of multi-fidelity input data points are much more sensitive to the exact