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Field
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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spectroscopy or imaging on biological systems, as demonstrated by scientific publications in the field. Required skills include operation and alignment of laser instrumentation, preparation of biological samples
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delivery (e.g., mRNA, siRNA, ASO, lentivirus technology, transient transfection, loss/gain of function experiments), immunocytochemistry, light and confocal microscopy. Prior experience with induced
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Sign In Create Profile Postdoctoral Research Associate-Computer and Information Research Tucson, AZ, United States | req23101 Apply Now Share Save Job Posted on: 6/11/2025 Back to Search
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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. The processes involved in triggering outbursts, using optical monitoring and the real-time pipeline X-ray Binary New Early Warning System (XB-NEWS) developed at NYUAD, and comparisons to AGN and other compact
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/Credentials/Licenses A PhD degree in Chemistry, Physics, Chemical Engineering, Materials Science, or related Disciplines. Computer Skills Basic computer skills, including proficiency in MS Word and PowerPoint
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. in chemistry, physics, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of
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engineering teams to evaluate energy deposition, power losses, total ionizing dose, and other radiation-relevant quantities across the Electron Storage Ring (ESR), Hadron Storage Ring (HSR), and Rapid Cycling
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Light Source II (NSLS-II). NSLS-II is a user facility dedicated to helping researchers from the U.S. and abroad bring cutting-edge synchrotron technology and automation to bear on society’s most pressing