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-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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significant contributions to AI that demonstrate high potential for research impact. · Published research experience in AI for scientific discovery and/or AI-driven biomolecular modeling and/or scientific
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher – Metabolic Engineering & Synthetic Biology (JPF11227) Postdoctoral Researcher – Metabolic Engineering & Synthetic Biology
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, and other relevant cell types. Conduct stereotaxic surgical procedures and targeted injections in mouse models. Support viral vector delivery and molecular, biochemical, histological, and cellular
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Postdoctoral Associate Academic Job Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and
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Position Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second
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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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numerical modeling, remote sensing applications, and the development of data-driven decision-support tools. The successful candidate will work on a NASA-funded Transboundary Model and Data Homogenization