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programming ability in Python and experience with common scientific-computing or data-analysis libraries. Experience analyzing biomedical images, longitudinal data, clinical data, or omics datasets. Experience
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. Experience: Experienced (minimum 2 years of job-related experience). Plus, two or more of the following is preferred: Google Cloud Platform SQL (Structured Query Language) and relational databases Python
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visualization software (e.g., GraphPad Prism, ImageJ/Fiji, R, or Python). Demonstrated ability to troubleshoot experimental protocols and contribute to the design and execution of independent research projects
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genomics databases (e.g., gnomAD, 1000 Genomes, TOPMed). Prior hands-on experience with these resources is preferred but not required. - Proficiency in R required; Python is also acceptable. - Working
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. Proficiency in Python programming Experience utilizing AI-enabled tools in teaching, engineering education, or data analysis. Familiarity with data analytics, data science, and machine learning concepts
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investigator on the status of the research. Collect and log laboratory results. Evaluate and perform data analysis using Python, R, and other specialized linux tools for genomics data. Prepare and present
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(e.g., RNA-seq, genomics, epigenomics). - Strong programming skills in Python and/or R. - Experience in statistical analysis and data science. - Ability to work both independently and collaboratively in
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Experience with MRI or clinical research A strong interest in learning fMRI in particular Programming experience (e.g., Python, MATLAB, R, shell/bash) Familiarity with statistical software (e.g., R, SPSS) and