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York Times has called “the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative
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Internal Number: 6513057 Postdoctoral Scholar - Fermentation Science - California Institute for Quantitative Biosciences (QB3 Berkeley) Position overview Position title: Postdoc Employee Salary range: The UC
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the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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, with the overarching goal of identifying novel therapeutic targets and strategies. The research program is embedded within a collaborative, multidisciplinary environment that emphasizes scientific rigor
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performance and subject to budgetary approval. Eligibility requires completion of the Ph.D. in statistics, data science, mathematical sciences, computer science, or a closely related field before the start date
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interventions, implementation science and community-engaged research. The program is enabled by over 35 faculty members at the Yale Schools of Public Health, Medicine, and Nursing, who have an outstanding track
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to assist in developing an independently funded program focused on beef cattle production systems involving grazing lands, both introduced pastures and rangelands, in the south Texas plains region. General
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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Miami. The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through