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Field
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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techniques such as cloning, PCR, mutagenesis, DNA extraction, gel electrophoresis 4. Knowledge of protein/antibody discovery and optimization using in vitro display (such as phage or yeast) technology 5
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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the development and testing of new materials. The work will involve reactor design and setup with gas flow capability and process optimization. Qualified candidates should have a Ph.D. in chemistry, physics
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infrastructure; 2) network level optimization for transportation decarbonization, energy supply, and resilience planning. Certifications/Licenses Required Knowledge, Skills, and Abilities The successful candidate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image
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representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
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development/engineering skills. · Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability. TO APPLY: Please visit https