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Field
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numerical tools that the candidate will need to improve. The thesis will also benefits from the experiments in order to validate the proposed model. Profile of the candidate • Master's student in physics
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related research strands, including: RAM Process Modelling: The development of advanced numerical models for RAM processes, incorporating complex phenomena such as chemically induced viscosity changes
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of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation of the mathematical models of the patho-physiology and PK/PD
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field measurements and laboratory experiments Comparing and evaluating existing numerical models, including XBeach and Watlab (developed at UCLouvain/iMMC) Developing and implementing improved numerical
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in conjunction with the industry partner, this PhD project aims to develop a reliable numerical modelling framework capable of: (i) simulating coupled heat and fluid flow within deep geothermal
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. Quantifying the impact of parameter uncertainty on system performance typically requires repeated evaluation of computationally expensive numerical models, which may be impractical within project timescales
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in high-impact factor SCI journals Extensive material characterization experience (XRD, SEM, FTIR, Mercury Intrusion Porosimetry (MIP)) Experience with numerical modelling (e.g., COMSOL/ANSYS
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theoretical and computational work in topological photonics and nanophotonics. Day-to-day project activities will include numerical computation and theoretical analysis of the photonic properties of candidate
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 days ago
problems numerically, physics and mechanics have a long-standing culture to model and analyse complex systems through controlled experiments and theoretical developments. Progressively, these communities
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, architectural engineering, (applied) physics, applied mathematics, or a related field is required. Strong mathematical and analytical skills are essential. Solid understanding of numerical modeling and signal