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. The specific goal of this internship is to develop and validate a 3D phase-field model capable of describing: The early stages of martensitic transformation in RHEAs. The growth and interaction of martensitic
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Institut Jean Lamour - CNRS - Université de Lorraine | Nancy, Lorraine | France | about 2 months ago
the existing model to include plastic relaxation of the β matrix. Calibrate input parameters (lattice constants, elastic constants, free energies, yield stresses, etc.) from literature data. Perform numerical
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and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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seek researchers to engage in: - Modeling-based analysis of groundwater flow and material dynamics in the Kumamoto region - Numerical analysis of water cycle variability using hydrological and
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, mathematical modeling of wound healing and mathematical modeling of cancer. There is also an opportunity to develop and apply analytical and numerical methods for studying dynamical systems. The ideal candidate
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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background in (not necessarily all) the following fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability
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. Experience in integrated modelling simulations would help. Experience in numerics: use of parallelised codes, programming (Fortran/C), use of analysis tools like Matlab or Python Website for additional job
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, through both experimental measurements to be carried out with different techniques, and vibro-acoustic numerical modelling. The aim of the research is to i) identify noise sources ii) define and test
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turbines. Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modelling, physical testing, or probabilistic