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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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will carry out studies to examine population genetic processes responsible for evolution by natural selection using genomic data. The research activities are outlined in funded NSF and NIH proposals
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the boundaries of physics. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese
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Qualifications: Ph.D. and/or M.D. in neuroscience, immunology, vascular biology, or a related field Strong communication and organizational skills Preferred: Experience with small animal surgery and two-photon
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
(EMES) and the Institute of Marine Sciences at UNC-CH advances understanding of the earth and ocean processes that govern our planet, shape diverse ecosystems, sustain life, and drive environmental change
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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-based experiments. Proficiency with scientific programming languages and analysis tools such as C++, Python, Geant4, and ROOT. Experience with simulation and modeling of detector systems and physics
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(PhD, MD, or equivalent) conferred by the start date. Proven research and/or professional experience in machine learning and/or natural language processing, with a preference for prior experience working
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experience. The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list