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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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education operations, analytics, strategic planning, enterprise systems, or related fields; Experienced in data analysis and data work flow management; Demonstrated proficiency in SQL, Python, and other
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Biomedical Engineering, Psychology, or a related field At least two years of postdoctoral experience. Required Qualifications: Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong
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) solutions. Experience with automation and scripting technologies, including Python, PowerShell, Microsoft Foundry, Microsoft Power Automate, UiPath, Puppet, Ansible, Terraform, and ServiceNow. Knowledge
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heterostructures Experience with operating ultra low temperature cryogenics (~ mK) Experience with cleanroom work Experience developing a Python-based laboratory control and data-acquisition infrastructure
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R or Python programming languages for management and analysis of a variety of data types and sizes, potentially to include multivariate and spatial statistics, image analysis, and machine learning
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python and using plant root segmentation software Experience segmenting 3D CT images in plant sciences Experience with high performance computing/high throughput computing resources for research Evidence
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audience. Eligible to work in an export-controlled environment. Desired Education/Experience: 2-4 years of experience in HPC. Proficient at writing shell scripts (Python, BASH, or equivalent). Exposure
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with tools such as ROOT, python, and slurm job submission, strong communication skills, a willingness to learn and try new things, and an interest in mentoring junior scientists. Some experience with
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, bioinformatics, computational biology, or equivalent. Experience in computational biology or bioinformatics research required; proficiency in Python and/or R required; experience with genomic and/or transcriptomic