98 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" positions at Duke University
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to the humane care and use of research animals. DLAR is committed to maintaining the highest quality laboratory animal program and serves as a resource center for Duke investigators and their labs. Daily, you
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are a hybrid computational and experimental group using diverse, cutting-edge technologies to probe the human microbiome and its functions with unprecedented resolution. Our methods include genomics (e.g
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. Learns and uses new technology when required. Science: Demonstrates a basic understanding of the elements of research study designs. Contributes to the development of scientific publications
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integrating analog and digital hardware with computer software. Strong analytical and problem-solving skills. Other Requirements: Ability to provide engineering assistance and consultation to faculty and
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, storage, transfer, management, quality, and preparation for analysis (may include data from EDCs, EHR, mobile apps, etc.). May train or oversee others. Innovatively uses technology to enhance a research
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medicine and nutrition professionals, and support staff. · Basic technology skills, including computer-based software, and mobile device applications. Choose Duke. Preferred Qualifications: · Master’s Degree
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Engineering, Applied Mathematics, Computational Science, or a related field. Experience: Demonstrated experience in environmental modeling, numerical simulation (ODE/PDE), or computational chemistry
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EDCs, EHR, mobile apps, etc.). May train or oversee others. Innovatively uses technology to enhance a research process. May train others. Prepares tables, data visualizations, and lay summaries
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, quality, and preparation for analysis (may include data from EDCs, EHR, mobile apps, etc.). Innovatively uses technology to enhance a research process. Prepares tables, data visualizations, and lay
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, computer science, engineering, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning