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-cell microbiome analysis, or multi-omics data integration. Knowledge of machine learning approaches for resistome prediction or biomarker discovery is a plus. Why Join Us? Access to cutting-edge
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works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include
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security-related projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in
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computing, and database development and management. Background in computational modeling and machine learning. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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, vision, prescription) Flexible spending accounts & wellness programs Professional development & mentorship opportunities To learn more about why UC is a great place to work, please visit our careers page
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Fellowship Program supports outstanding early-career scientists and engineers from around the world. Fellows receive funding to pursue independent, cutting-edge research at KAUST for three years. Selection is
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contribute to grant proposals and progress reports. Collaborate with interdisciplinary teams within CQT and with external academic and industry partners. Requirements PhD in Physics, Engineering, Computer
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proposed mentors from current faculty associated with the Kempner Institute or working on machine learning, artificial intelligence, or computational neurobiology at Harvard. A research proposal of no
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as