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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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on highly complex technology, algorithm development and data management and analysis. CDT is a recognized world leader in the technological treatment of diabetes and the hub of an international research
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focus primarily on data cleaning quality assessment of data, and statistical analysis. They may train and supervise student workers and volunteers who are working on data analysis. They participate in
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-related initiatives and support project management responsibilities for multiple research projects. Opportunities to generate and present scholarly work are expected. The role will require careful
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions