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undergraduate research. For more information, please visit: https://www.unr.edu/undergradresearch Contact Information Staci Sipaila at ssipaila@unr.edu Exempt No Full-Time Equivalent 100.0% Required Attachment(s
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to this position. Please refer to http://www.nevadaasun.com/documents/ for more information. Posting Close Date Note to Applicant A background check will be conducted on the candidate(s) selected for hire. HR will
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Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
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frontiers of understanding in the service of ethical stewardship and the benefit of all. Please find more information here: https://www.unr.edu/planetarium Contact Information Beth Jacobsen at 775-682-8787
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Engineering; Electrical and Computer Engineering; Mechanical Engineering; Materials Engineering; and Mining Engineering. The Faculty’s core purpose is to discovery, design, innovate, provide unwavering top-tier
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. Analyzing both quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining. Transcribing and coding qualitative data using software packages
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | 2 months ago
, you will be in charge of developing and drafting research projects, as well as planning and implementing experiments. You will also be in charge of mining the genomic data produced using existing
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wide array of training and oversee policies that govern research and workplace safety. For more information, please visit the following site - https://www.unr.edu/ehs Exempt No Full-Time Equivalent 100.0
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that govern mitochondrial influence on longevity, this work will establish a foundation for future interventions to extend human healthspan. Techniques: Data mining Transcriptomics Proteomics Statistical
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technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning