727 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in United States
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict
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, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
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morphology (e.g., geometric morphometrics, machine learning), and phylogenetic comparative approaches. We have: • An engaging, supportive, and collaborative research environment. • Opportunities
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use of laboratory equipment, including vibratome, scales, stirrers, pH meter, and knows or will learn any and all equipment, software, and specialized materials needed to support the effective and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Schedule Monday – Friday, 8am – 5pm Work Location CARRBORO, NC Position Location North Carolina, US Hiring Range $45,405 - $52,960 Pay Band Information To learn more about the pay band for this branch and
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Schedule Monday – Friday, 8am – 5pm Work Location CARRBORO, NC Position Location North Carolina, US Hiring Range $45,405 - $52,959 Pay Band Information To learn more about the pay band for this branch and
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others, both on internal teams and with external partners. Excellent organizational skills and attention to detail. Ability to learn new lab protocols and apply them at scale (e.g. genotyping thousands
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conferences and workshops. The Research Assistant Professor may be asked to teach (or may ask to teach) but that is neither required nor guaranteed. Qualifications Applicants must have a Ph.D. in Economics or
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opportunities for experiential learning on and off campus, including a growing emphasis on international experiences through short- and long-term study abroad. Students also have access to a robust program of
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are an interdisciplinary research team that integrates single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine learning to investigate how the human brain