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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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field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening
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, and simulation studies. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency. Implements and optimizes computing
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Language Models, and image recognition; web scraping; and API interaction. Demonstrated proficiency in programming languages such as Python, R, or similar. Demonstrated background in Computational Social
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interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through
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with Matlab, Python, and/or R programming languages is a plus. Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Analysis of fMRI and MR spectroscopy data Acquiring
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languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques
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and/or in a collaborative environment. Excellent teamwork, communication, and organizational skills are required. Knowledge in Linux and R required, Python highly recommended #LI-YC1 The University