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expertise in mouse metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
* Make it easy to get high quality, automated, results without expert intervention. Build scalable products and reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
* Make it easy to get high quality, automated, results without expert intervention. Build scalable products and reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and
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. Working with international academic and industrial partners, you will translate experimental data into transparent models, decision-relevant indicators, and semi-automated Python tools. Your primary tasks
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metadata and outcomes. Creation of reproducible Python and/or MATLAB pipelines for clinical signal processing and analysis. Translation of computational methods into clinically interpretable tools for
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quantitative research and analyzing experimental, observational, or engineering data. Proficiency in at least one analytical or programming environment, such as Python, R, MATLAB, or equivalent software
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datasets using R and/or Python to uncover molecular mechanisms of PTSD Evaluate and integrate current scientific literature to support ongoing research projects and hypothesis development Prepare
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with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development: The postdoctoral associate will work
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imaging/spectroscopy systems. • Experience with data analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae
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in laboratory medicine. The ideal candidate has the quantitative and computational background to analyze sequencing, high dimensionality data, and be efficient with bash, python, and/or R. Expertise