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; GIS software; spatial analysis and visualization; programming in R, Python, or similar; quantitative data collection and analysis; scientific synthesis and writing. Experience partnering with non
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data analysis, visualization, and quantitative assessment of model outputs. Strong communication and writing skills, with an interest in collaborative, interdisciplinary research. Preferred Skills
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, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required. Experience in analysis of genomis /trancriptomic /epigenomic data including
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experiments and corresponding data analysis. Following the successful demonstration of the technique, the candidate will collaborate with team members from material science to apply these methods to scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
quantitative data analysis. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Applicants must apply online at https
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profiling (PhIP-Seq), from library preparation to data analysis. · Perform a range of molecular biology assays (RT-qPCR, ddPCR, sequencing, etc.) and troubleshoot as needed. · Analyze and
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. Design, implement, and validate experimental setups; conduct synchrotron-based measurements on quantum and energy materials. Build robust data reduction and PDF analysis workflows; document best practices
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to quantify surface waves and their corresponding processes, including turbulence, wave breaking, bubble entrainment, and spray generation. Experimental Data Analysis: Utilize MATLAB, Python, and LabVIEW
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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: • Demonstrated expertise in quantitative modeling and data analysis. • Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI