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, atmospheric science, computer science, or a related quantitative field. Certification and Licensing: Prior experience working with atmospheric aerosol data and/or machine learning tools in Python or MATLAB is
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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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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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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
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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
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: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
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to optimize data processing workflows, particularly for large-volume, high-dimensional healthcare datasets. Utilizes object-oriented programming (e.g., Python, Java) to develop modular, scalable research
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ethical frameworks. Proficiency in Python and experience with relevant libraries for AI/ML development. Experience with advanced AI methodologies including deep learning, transfer learning, and neural
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degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience