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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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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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of photopolymer resin, setting up CAD models and printing parameters, 3D printing and post-processing, and evaluation of the final product. Key Responsibilities: Fabricate 3D printed prototypes using vat
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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
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: Turbulence and VCA induced vortex modelling as safety cases for Urban Air Mobility Supervisor: Prof. Dr. rer. nat. Matthias Mauder, Chair of Meteorology and co-supervised by at least one
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-ion batteries. Application of novel types of battery materials will affect current distribution in the cell. The project aims to model ionic and electronic transport in the battery cell based on 3D
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(WP4), led by IEM, focuses on the design, modeling, and optimization of a laboratory-scale EC-MF pilot using promising electrocatalytic materials synthesized in WP1.3. The postdoctoral researcher will
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the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning modelling. This exciting project involves the application of innovative
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– particularly in battery fire combustion and spread. Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and
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the team of the NAMIC Project for 3DP Ship Hull Design. The Research Engineer will play a critical role in the development, validation, and optimization of 3D-printed Ship Hull and Connector System