21 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Virginia Tech
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of these positions will be on quantum error correction and fault-tolerant quantum computation. Topics of interest include quantum low-density parity-check (qLDPC) codes, code surgery and lattice surgery protocols
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development and familiarity with best coding practices in one or more of the following programming languages: C++, Python. - Familiarity with Continuous Integration/Continuous Development (CI/CD) processes
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interests) on 2-3 simultaneous team-based research efforts. • Support project internal communications and milestones through oral/written status updates and/or code review. • Support project final
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presentation, oral and written communication -Problem solving skills and a demonstrated ability to work independently -Demonstrated experience reading, executing, and troubleshooting code -Demonstrated
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Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline to the position summary. • Proficiency in software development and familiarity with best coding practices. · Demonstrated
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; Previous experience performing diagnostic and procedure coding; Excellent computer skills, including experience in word processing, database entry, and other computer information systems; Excellent
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multiple concurrent duties • Proficiency with data analysis and visualization in R and coding in Python (or similar systems) • Excellent communication skills • Eager to learn and perform wet bench molecular
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durability characterization (e.g., strength, freeze-thaw, or non-destructive evaluation) and with quality assurance/quality control documentation. • Familiarity with performance verification and code
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possess strong interpersonal, communication, and team skills. Knowledge / working proficiency with data analysis/visualization software and coding languages such as: • Data visualization: Power BI, Tableau
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orchestration technologies such as Apache Airflow or comparable tools. • Experience working with infrastructure-as-code technologies such as Terraform. • Experience supporting machine learning, predictive