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Field
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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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technologies, with a particular focus on corpus luteum–derived endocrine signals in decidualization and endothelial function. Additional research areas include the pathomechanisms of endometriosis using 3D and
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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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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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novel methods across evolutionary analysis, mathematical modelling, micro-scale experiments and 3D printing. You will have a PhD (or close to completion) in biophysics, bioengineering, mathematical
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bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects that involves
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. The ideal candidate for the position has a PhD in virology, cell biology, developmental biology, neuroscience or a closely related biomedical field, with a solid practical background in 3D cell culture
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function. Additional research areas include the pathomechanisms of endometriosis using 3D and organoid models, as well as the links between reproductive disorders, reproductive aging, and premature vascular
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postdoctoral researcher to develop and deploy coupled X-ray computed laminography and X-ray diffraction methods for non-destructive 3D analysis of solid-state battery pouch cells. The role is embedded within
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the following areas will be considered: Microscopy development and applications: Design, construction and application of high-speed 3D microscopy methods including our SCAPE / light-sheet approaches, two-photon