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texture measurements on vegetable tissue. You will participate in data collection and analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning
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. To learn more about our Comprehensive Benefits, pleaseCLICK HERE . Please note: City of Hope is committed to a safe and transparent hiring experience. Please be aware that scammers may attempt to impersonate
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
therapeutics and generic drugs. This effort covers more than just medicines. Research Project: As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join and learn from a community of
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and
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entrepreneurship education and research. SKJCE conducts research in areas such as entrepreneurial learning and education, academic entrepreneurship, entrepreneurial finance, social entrepreneurship, and immigrant
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Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in
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emerging technologies, transportation data, policy, research and all modes of transportation across the Department. As a Fellow, you will learn to facilitate the transformation of our transportation system