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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days 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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-parameter flow cytometry, tissue processing, and cell culture. Proficiency with analysis and data visualization tools (GraphPad Prism, OMIQ, FlowJo, and/or RStudio). WORKING ENVIRONMENT: Work is performed in
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experiments. Maintaining the electrophysiology rig, keeping accurate records of experiments, performing data analysis, and creating figures for publications and grants. Rodent survival surgery: Coronary
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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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, data-limited, and dynamically evolving environments. Applications include complex engineered systems such as intelligent communication networks, distributed computing platforms, and quantum-enhanced
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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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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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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis