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with an idyllic small-town feel, perfecting a unique balance between a close-knit community and driving consistent growth and development. Paralleling the exponential growth of Auburn University
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page right out of Southern Living magazine with an idyllic small-town feel, perfecting a unique balance between a close-knit community and driving consistent growth and development. Paralleling
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Linux cluster hardware and interconnections, research workload management methods and administration, large parallel file system administration, and Cloud Technologies. Must have knowledge
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feel, perfecting a unique balance between a close-knit community and driving consistent growth and development. Paralleling the exponential growth of Auburn University, the Auburn/Opelika area boasts
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computational analyses in parallel to hands-on experiments Present research updates at the team meetings Writing, compiling the data, preparing publication-ready figures/tables, and assisting in the manuscript
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unique balance between a close-knit community and driving consistent growth and development. Paralleling the exponential growth of Auburn University, the Auburn/Opelika area boasts services and amenities
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& Countermeasures, Software Reverse Engineering, and Computer & Network Security. Minimum Qualifications Minimum qualifications are a bachelor’s or master’s degree as well as the PhD degree in computer science
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linked diseases at the molecular, cellular, and whole animal levels. The successful candidate will work in close collaboration with the laboratory of Elizabeth Lipke, PhD in the Department of Chemical
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levels of responsibility. or PhD in Computer Science, Machine Learning/Artificial Intelligence and Data Science and 2 years of Experience using and developing ML/AI-based tools (e.g. large- and small
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Qualifications The qualified applicant must hold a terminal degree (e.g., DrPH or PhD) specifically in Public Health or a closely related discipline OR a Master of Public Health (MPH or MSPH) or equivalent