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running data analysis from plant breeding programs. Ensuring compliance with data security standards and compatibility with R-based and/or Python analysis tools and Shiny apps to maintain open-source and
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/computational biology or a related field. Very strong commitment to rigor and scientific integrity. Proficiency in a major programming language used for data analysis, such as R or Python. Experience with single
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scripting language (e.g., Python). ● Record of managing and analyzing large-scale genomics or population genetics datasets. ● Demonstrated ability and willingness to work both independently and
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methods; developing and maintaining data analysis tools and processing pipelines in Python; helping with proposal preparation; preparing manuscripts for publication in peer-reviewed journals; and
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/opioid signaling. Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines. About the Department The Department of Dermatology is committed to providing
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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB
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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB
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field is required. Proficiency with programming and data analysis using at least one of MATLAB, Python, or R is required. City: Piscataway State: NJ Physical Demands and Work Environment: PHYSICALDEMANDS
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
-line environment and analyzing whole-genome sequencing data (genome assembly, annotation, and detection of resistance determinants) using at least one scripting language (e.g., Python, R, or Bash
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role in both the scientific application and open-source software development of UXarray, a Python package that extends Xarray to provide native support for horizontally unstructured computational meshes