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Dr. Donghui (Don) Zhu, Ph.D to learn more about the department/research. Duties: ● Conduct research experiments utilizing specialized techniques, applying theories, concepts and principles in
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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Staff Job Description Required Education: Ph.D. in Biochemistry Preferred Experience: Prior experience with AlphaFold and other machine learning approaches are required. Required skills, knowledge
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Station, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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to maintain FLSA exemption. Visit The Office of Postdoctoral Affairs to learn more about our postdoctoral community. Resume/CV and cover letter should be included with the online application. Stony Brook
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environment and appreciation of differences in the workplace The selected candidate must have, or be able to acquire, Special Sworn Status, to work in the Federal Statistical Research Data Center (FSRDC), of
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among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability Create a Job Match for Similar Jobs About New York University Founded in 1831, New York
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 38 minutes ago
, designing natural language interfaces for more intuitive navigation of the BDC environment, creating BDC-specific foundation models, and enabling large language models (LLM) and machine learning-based
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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal