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software programs such as Excel, NVivo, Covidence, Stata, R, or Python. Education or coursework in public health, psychology, social sciences, or a related discipline. Familiarity with Microsoft Office and
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-programming skills using Python, MATLAB, R, or an equivalent platform, including experience developing reproducible computational workflows. Demonstrated ability to conduct independent research, formulate data
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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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Qualifications: • Experience in artificial intelligence/machine learning approaches applied to digital data and multi-omics data • Experience in multi-omics analysis • Experience using R or Python Pay and Benefits
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University Classification Job Code: 8352DA The Accessibility Observatory or AO (https://access.umn.edu), a CTS research program, is a leading national resource for the research and application of access
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Qualifications • Demonstrated skills (or ability to learn quickly) in programming (especially Python and Rust), data science, machine learning, and statistics. • Previous experience analyzing gravitational-wave
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Telegraph (a hands-on lab module for telerobotics and haptics) • Working knowledge of robotics packages: Python libraries (e.g. Corke) and NVIDIA Isaac for Healthcare (e.g. Newton enabled medical physics
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one or more years of research training Working knowledge of: Artificial Intelligence systems Database: Design and development Languages: Java, PHP, MySQL, HTML, XML, Python, R, or similar Platforms
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and faculty who work in both clinical and basic research. Responsibilities: Data management, analysis and documentation •Documentation, data entry and management (e.g., REDCap, Excel, Matlab, R, Python
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation