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Bison Integrated Genomics and Assisted Reproductive Technologies for Germplasm Biobanking (BIG ART) Primary Purpose: Bison are an integral part of the ecology of Canadian national parks. Parks
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, understanding of population, community, and organismal ecology. Work with "big data" analysis, experience with wetlands and fisheries data specific to the Texas Coast, experience working with non-profits and
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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, Public Health, Climate Science, Data Science, or related disciplines. Demonstrated experience in managing large-scale data sets and conducting health-related research studies. Strong analytical skills with
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tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
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; the environmental effects of international trade, and; the relationship between trade policy and industrial policy. The work includes extensive cleaning, merging and preparation of large micro data sources
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As
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. This research is accomplished mainly through large-scale collection of fish stomachs aboard research vessels, the subsequent stomach analysis in the lab utilizing dissecting microscopes and knowledge of marine