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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency
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for surveys such as IPEDS, CDS, NCAA, and U.S. News. • Experience querying databases and using statistical computer languages: R, Python, SQL, etc. • Experience visualizing/presenting data for stakeholders
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Information Systems, Computer Science, Bioinformatics, or a related field (as held by candidate). Experience: Experience developing and maintaining data pipelines and ETL workflows using tools such as Python
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using R, Python, and GitHub. The role also involves contributing to data visualization, interpretation, and manuscript preparation; assisting with wet-lab activities such as library preparation, histology
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projects. Experience with grant writing, mentoring students, and collaborative academic or industry research is preferred. Knowledge, Skills and Attitudes: Strong programming skills (Python, C++, MATLAB) and
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analysis, basic scripting in R or Python, and integration of multi-omic datasets is considered an advantage. Candidates should also possess a strong publication record in high-impact journals and a
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tomography (OCT) images and genetic data for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and uveitis. Programming in Python and R
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of major eye diseases such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries