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, Territorial Planning and Management, Economic Geography, and related fields; experience in the construction, development, and interpretation of databases; use of statistical software; analysis of agent networks
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of human disease, particularly neurodevelopmental disorders, including data analysis, image processing, literature research, and composition. They will handle transgenic mouse models, maintain colonies
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
/Description: The Wang Lab is recruiting a postdoctoral research associate with expertise in computational genomics and bioinformatics focusing on long-read sequencing analysis. The successful candidate will
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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: https://neurock.cems.umn.edu/ Candidates are expected to lead scientific research efforts, mentor and collaborate with others, give scientific presentations and write scientific reports and manuscripts
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experiences (WP2). Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldEngineering » Civil engineeringEducation LevelPhD
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; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast
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research activities, you will contribute to ongoing projects within the Brightlands Future Farming Institute (BFFI) and collaborate across disciplines in areas such as data acquisition and analysis