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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination
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materials science by integrating physics-based simulations with data-driven analysis of cutting-edge synchrotron radiation facility data. By combining experimental data with physical models, we establish
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and time-varying performance through quantitative comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using
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-electronvolts. Investigating these particles and their inter- actions with the electric environment is possible through computational modelling; however, the large number of particles and their long-range
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innovative solutions to help overcome the manufacturing challenges associated with producing rAAV and brings together experts from two leading Irish institutions, NIBRT and UCD, and APC-VLE Ltd. (https
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. The research will investigate how phase distribution and flow velocities influence fluid–structure interaction (FSI) and will focus on developing novel sub-models for coupled CFD–FEM simulations. Your tasks
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
dynamics simulations of biomolecules in solution – using models of about 100 000 atoms – that provide a data set to train stochastic low-dimensional models (Langevin equations), based on diffusion on a
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Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations, quantum sensing
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changes in microgravity conditions. d. Ability to perform cell culture and tissue models such as 3D tissue models and microfluidic systems to simulate microgravity. e. Understanding and experience with