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/genomics Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications
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Description Job Responsibilities -Analyze and interpret metagenomic data to investigate and identify often divergent viral genome sequences. -Collect, reconstruct and analyze large datasets obtain by cryo
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in analysis of large complex data sets, as evidenced by application materials. Strong interpersonal communication skills, as evidenced by application materials. Demonstrated willingness to help mentor
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of Medicaid, Medicare, and private insurance data and the application of social science theory and advanced statistical techniques in large data sets. Statement Posting Details Special Instructions
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undergraduate or graduate students, if appropriate. Additional Information The ideal candidate should be an independent, solution-oriented thinker with a strong background in processing very large data sets
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of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based cardiac/myocardial ablation. The clinical applications investigated will include ventricular tachycardia and
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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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Description: Apply Position Description The Health Data Exploration & Analytics Lab (HEAL) at the Lucy Family Institute for Data and Society seeks highly motivated and enthusiastic candidates to fill a post
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collaborative research on immune development and responses to respiratory viruses. Analyze clinical and large-scale datasets (e.g., genomic, transcriptomic, proteomic data). Design and execute experiments using