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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
or high-performance computing environments. - Strong background in statistical modeling and machine learning, especially applied to spatiotemporal data. - Familiarity with urban systems, urban emissions
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deep shotgun sequencing data to profile the microbiome at the taxonomic and functional levels and applying statistical analyses to large datasets to identify (ideally, genetic) factors affecting
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information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and
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classes in the graduate and undergraduate curricula and/or similar classes, either in an in-person or online modality: ● Quantitative and Psychometric Methods ● Multivariate Statistics ● Measurement
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
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research objectives, under the direction of a supervisor. Demonstrated expertise in hydrologic, water quality, crop, and ecosystem modeling. Strong computer and statistical programming skills, with
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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laboratories of Dr. Juliana Vasco-Correa and Dr. Christine Costello on multiple funded research projects, performing computational modeling of crop and livestock production and forestry systems, and
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics