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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
questions related to living forms morphogenesis. Reconstructing roses in 3D from incomplete and noisy scans in a non-invasive way is critical for this study. This problem is challenging as petals are thin
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visualization software (e.g., 3D Slicer, ITK-SNAP). • Familiarity with statistical analysis and scientific writing for peer-reviewed publications. • Prior exposure to NIH-funded or translational research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
, Chemical Engineering, Materials Science, Pharmaceutics, or a related field Required Qualifications, Competencies, and Experience Experience in drug delivery, biomaterials, or microfabrication/3D printing
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. The project will develop methods and approaches using novel polymerisation to produce 3D porous materials to enable 3D cell growth and bioengineered in vitro models. The successful candidate will join the
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an international, collaborative and intellectually ambitious environment where early-career researchers are given the opportunity to develop as independent researchers and contribute to science that makes a
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position focused on the development of 3D LPT techniques for industrial applications. Job description In this Postdoc position, you will focus on the development of large-scale three-dimensional Lagrangian
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well as an appropriate multidisciplinary PhD Must-have background: · Strong experience in X-ray imaging, tomography or closely related 3D X-ray methods. · Experience with reconstruction, scientific coding and
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society, computational social science, and psychology. We invite applications for a full-time postdoctoral researcher to join the interdisciplinary SNSF-funded research project "Digital Originals in 3D
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conformational heterogeneity in cryo-EM images more extensively and finely than classical methods (discrete classifications), and reveals rare conformational states that can be difficult to detect in 3D
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Science. Explore new possibilities in the study of 2D and 3D magnetic microstructures using a mix of static and dynamic magnetometric methods, as well as advanced static and dynamic magneto-optical domain