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acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with pulse sequence
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or multi-omics datasets. Proficiency in data analysis and computational modeling using R, Python, Bash, etc. Experience with automated pipelines and workflows (HPC, GitHub, Docker). Strong understanding
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of project findings. Minimum Requirements Education: Doctoral degree Preferred Qualifications Ph.D. in Education, STEM Education or related fields Be well-versed in Python and CAD platforms such as Onshape. A
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, Python, Bash, and other programming languages for data analysis and statistical modeling. Automated Workflows Experience: Proficient in using HPC, Git/GitHub, Nextflow, Snakemake, or Docker for efficient
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techniques and methodologies. Experience with data analysis software (e.g., MATLAB, Python, R). Excellent organizational, communication, and problem-solving skills. Ability to work independently and as part of
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The Laboratory of Dr. Chongzhi Zang in the Department of Genome Sciences at the University of Virginia (UVA) is seeking to fill multiple Postdoctoral Research Associate positions in the broad field