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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. Be You. The
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interactions. The ideal candidate will bring expertise in microbial ecology and microbiome sequencing and/or microbial metabolomics. This researcher would work across multiple projects that aim to understand
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•Collaborate on multiple research projects at a time. •Preparing and explaining data reports to primary investigators. •Preparation of independent research manuscripts for publication. •Assist with data queries
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School of Public Health invites applications for two post-doctoral fellow positions to participate in funded HIV and relevant research. These projects involve the utilization of multiple types of Big Data
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minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine
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, energy poverty, and energy security Prior experience in qualitative, quantitative, or mixed-methods research. Technical competence in data analytics, programming, or modeling using tools such as Python, R
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. As part of a multidisciplinary team spanning multiple Argonne divisions, you will contribute to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance
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following programming languages: R or Python. Proficiency in Microsoft Office (including Outlook, Word, Excel, PowerPoint). Ability to work independently, but collaboratively on multiple projects. Ability
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Education, STEM Education, Statistics, or a closely related field. Experience conducting quantitative analysis using statistical software such as R or Python. Experience conducting educational, social science
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unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple