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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National
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engineering pipeline, developing usable and innovative solutions to build a prototype of sustainable online tools and services that are relevant and useful to a broad range of stakeholders making decisions
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, standing, walking. Working on a computer. Ability to move to on and off-campus locations. Equipment Lab and office equipment. Salary Range: Base pay is commensurate with experience. The above statements are
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Benefits Guide: https://mybenefits.nfp.com/UChicago/benefits-guide/ . Prior to the start of employment, applicants must have: 1) a doctoral degree in Computational Biology, Bioinformatics, Computer/Data
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: Minimum education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience). Minimum experience: 0 years Preferred Qualifications: Preferred education
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with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form
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to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC
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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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/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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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
Completed doctoral degree in remote sensing, signal processing, computer science, or other closely related fields Experience in handling, processing, and analysing large amount of data, especially large-scale