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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences
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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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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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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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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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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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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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interactive learning objects and activities Create accessible charts/graphs/diagrams Create animations, animated movies and 3D models Communicate regularly with team members, Team Lead, and Project Coordinator
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, and nonlinear optics. We are developing efficient X-ray optical elements to build up the functionalities by controlling the 3D structure of materials over large volumes and on nanometre scales, such as
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of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, to commence on 01.04.26. Information on the department can be found at: https://bmi.ku.dk/english/about_department