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language (e.g. R, SAS, Python), has proficiency in statistical theory and underlying mathematical distributions, and expertise in querying relational databases with SQL. They have experience with of a
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, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization. MINIMUM QUALIFICATIONS: A doctoral degree or
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of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination
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following areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Mathematics, or a related field. The Department of Biomedical Informatics
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Engineering, or Applied Mathematics. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially in a multidisciplinary team. Additional Details
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areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Mathematics, or a related field. The Department of Biomedical Informatics is a
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majors: Electrical Engineering, Biomedical Engineering, Computer Science and Engineering, or Applied Mathematics, or a related clinical field such as Psychology or Neuroscience. Excellent scientific
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management, with a focus on utilizing Excel for tracking student progress and milestones. While advanced mathematical formulas are not required, the ability to effectively utilize Excel for data management is
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developing lipid nanoparticles for non-liver mRNA therapies is important. MINIMUM QUALIFICATIONS: PhD or MD in engineering, biology, chemistry, medicine, applied mathematics, or the natural sciences- required
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of experience. Experience prior to achieving the PhD will be considered. PREFERRED QUALIFICATIONS (optional): • A doctoral degree (Ph.D.) in a quantitative/computational field including mathematics