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experiments (experimental economics, preference method, discrete choice method, surveys, etc.), with associated academic publications ? You are familiar with putting forward proposals to help build up
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are : - hadronic or particle physics (theoretical and phenomenological approaches) - numerical methods and programming (C++) and implementation of unit and global code validation tests - reliability and ability
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of existing wireless energy transfer methods. These breakthroughs enable the practical realization of fully wireless, battery-free implantable devices with applications in bioelectronic medicine and neural
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Mechanics. The candidate shall have a first experience in the development of numerical methods for mechanics of inelastic materials, including coding in Python and/or C++. A good knowledge of constitutive
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, including an ANR project focused on the spray cooling of textured surfaces. The objective is to leverage and develop innovative experimental methods, such as infrared (IR) thermography, to obtain quantitative
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The intersection of reduced order modeling (ROM) techniques and machine learning (ML) represents a critical advancement in computational science. Traditional ROM methods have evolved significantly since
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of Marine Engineering (CNR-INM) in Rome, and Centrale Nantes. [1] R. Pellegrini et al. A multi-fidelity active learning method for global design optimization problems with noisy evaluations. Eng. with Comput
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. The Post-Doc will used computational method based on isogeometric analysis to compute tissue surface state. 2) Simulating topological optimization of the porous structure promoting the invasion of bone