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document. Letter of Concurrence in the form provided by VMU. Document(s) indicating the change of name and/or surname, or a certified copy if the educational documents were issued under a different name and
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fields. Combining these techniques enables fast inference with strong physical fidelity, creating a pathway toward real‑time digital twins that fuse live measurements with simulation. This PhD project will
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AMMETIS[1] (AI-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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mathematical modelling and simulation. Partial differential equations will be applied to model drug distribution and partitioning in multiphase systems using the drug’s partition coefficient as a driving force
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induction and resonant coupling to create robust, efficient, and scalable SWIPT devices. The project integrates theoretical modelling, simulation, and experimental validation to enable safer, flexible, and
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-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced characterization
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models of polyploid genome evolution across contrasting timescales. The student
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. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models