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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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, 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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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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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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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
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computational tools and algorithms, including emerging AI/ML based approaches, for genome annotation, comparative genomics, and multi-omics analyses, with particular attention to the challenges of complex
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(Anthropic, OpenAI). Experience with graph algorithms or NetworkX. Familiarity with adaptive learning or educational technology. Experience with WebAssembly technologies (Pyodide, WebR). OAuth2 authentication
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to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will provide support by developing novel algorithms on finite
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automation methodologies and software infrastructure for next-generation computing systems, including neuromorphic and emerging hardware platforms. The position involves designing high-performance algorithms