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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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natural fibers. 2.Design of 3D printing mixture. 3.Chemical treatment and pre-soaking RCA particles in an acid. 4. Deep learning modeling of parameters of cement composites. 5. Preparation of reports and
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support the development of surrogate continuum models to study heat dissipation and PCM integration in 2D/3D nanodevice arrays and micro-packaging. Interface sub-continuum modelling outputs with chip-level
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Deciphering Streptococcus dysgalactiae subsp. equisimilis Population Genomics and Host-Pathogen Interactions using Advanced 3D Tissue Engineered Infection Models School of Biosciences PhD Research
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key
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towers; Participation in the elaboration of requirements; Development of a 3D vision system; Processing using artificial intelligence; Fusion of depth maps to obtain point clouds and visualization
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experience with CAD platforms (Autodesk/Dessault/Geomagics/or equivalent) Thorough knowledge and experience with of 3D printing principles and methods in order to independently perform 3D model engineering
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breast cancer dormancy -Participate in the development of novel biomaterials to model in vitro breast cancer micro-units in controlled 2D and 3D microenvironments -Monitoring breast cancer cell dynamics
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with NeRF, Gaussian Splatting, or other neural rendering models. Knowledge of 3D reconstruction pipelines such as photogrammetry, structure-from-motion (SfM), or multi-view stereo (MVS). Interest in
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part of PPPL's international collaboration with CEA, France. The final goal will be modeling self consistently plasma and impurity transport in the edge of a magnetic fusion device, tokamaks and