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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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priorities and handle numerous time-sensitive projects with conflicting and varied deadlines High attention to detail and accuracy, particularly with financial and administrative data. Ability to handle
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an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media
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not mandatory, expertise in quantum platform software such as Qiskit or cuda-q. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches
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and numerical tools for their simulation. - At least two first-author publications or preprints. - Excellent communication and teamwork skills. Benefits - Competitive salary and benefits package (2,000
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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the results of numerical simulations (ideliazed and in a cosmological context) with analytical models that they will develop, in order to understand the detailed physics of bar formation and evolution in
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» Mechanical engineering Engineering » Simulation engineering Environmental science » Earth science Environmental science » Global change Geosciences » Other Physics » Applied physics Researcher Profile First
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for energy saving purpose. The role will focus on geometric representation, multi-physics numerical simulations, machine learning and manufacturability constrained design optimization given metal additive