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. Physics, Engineering, Computer Sciences, Neurosciences), and a PhD in a relevant computational domain. Also deep knowledge of statistics and Bayesian learning, and necessary mathematical and computational
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Lab at the University of Washington. This program will serve as a foundational research initiative focused on advancing quantitative imaging science in oncology and establishing scalable infrastructure
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imaging such as live cell imaging, total internal reflection fluorescence (TIRF) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and
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molecular data using advanced computational and statistical approaches to identify early biomarkers of neurodegeneration. Qualifications: PhD in Biomedical Engineering, Neuroscience, Neuroimaging, Physics
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electron optics, MEMS technology, experimental microscopy, and computational imaging, we aim to open new possibilities for high-resolution surface imaging at low electron energies. As the postdoctoral
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the development of new imaging protocols. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in biomedical engineering, electrical or computer engineering, medical physics
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cleaning, standardization, and quality assurance activities to support reproducible research. Image Processing & Annotation Preprocess ophthalmic images for machine learning applications through resizing
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electron microscopy (cryo-TEM) and (2) image analysis using software such as RELION or cryoSPARC. This methodology has already been widely used in structural biology but has not yet been applied sufficiently
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, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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| Computer Science and Engineering Postdoctoral Scholar in 3D Artificial Intelligence for Biological Imaging The National Science Foundation (NSF) Imageomics Institute seeks a postdoctoral researcher to