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environment for reactors in serial production for operando studies Operando investigation of catalyst structures using high energy X-ray methods (scattering, spectroscopy, imaging) using in-house- and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
data collection of mammograms, and pathology and radiology images for potential development of a Virtual Tumor Board. The selected candidate is expected to work in a team environment together
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Number: 5353094 Postdoctoral Associate in Medicinal Chemistry and Pharmacology Job Description The Gabr lab at the Molecular Imaging Innovations Institute (MI3) in the Department of Radiology at Weill
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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researchers have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree or foreign equivalent degree. Experience with slice electrophysiology, 2-photon imaging, mouse
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quality of life by enabling patient-centered cancer treatment. The NOVO (Next-generation imaging for real-time dose verification enabling adaptive proton therapy) project aims to integrate real-time dose
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify
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experiments Perform microscopy-based imaging techniques to study membrane and vesicle trafficking Carry out DNA, RNA harvesting for single-cell sequencing and analysis. Design, plan, and troubleshoot
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how