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University of California San Francisco | San Francisco, California | United States | about 2 months ago
cardiovascular diseases. More specifically, the role involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms
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Abilities: Prior coursework in research methods, statistics, data structure and algorithms, data mining and visualizations, database management, and programming. 4 years of experience in data analytics and
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new opening for a postdoctoral scholar to develop cutting-edge mathematics and algorithms to analyze complex data from Department of Energy (DOE) experimental facilities. This role involves research and
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in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate
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, or related field and relevant postdoctoral research experience Familiarity with algorithms for analyzing high-throughput DNA sequencing data Familiarity with versioning tools such as GitHub Experience with
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conducting research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness
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and numerical algorithms for modeling and simulation of nuclear systems. Computational Nuclear Engineers within the RTHPCM group will work with group, section, and division members and external
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assist in developing quantum reservoir computing algorithms and work using them to model power systems data from, in particular, NLR’s ARIES platform, to explore the limits of quantum reservoir computing
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computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in
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applications according to requirements. Research and implement appropriate ML algorithms and tools. Develop and implement complex analyses pipelines, programming, and data visualization techniques Extend