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about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. Strong motivation and
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, metabolomics, and potentially other omics layers using high-performance computing environments. • Perform raw data processing, quality control, multi-modal data integration, and downstream analyses across
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processes that are disrupted across a range of conditions, such as major depression and autism spectrum disorders. Qualifications: The candidate must have a Ph.D. in neuroscience or a related discipline using
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning