7 algorithms-"Multiple"-"University-of-Cambridge"-"St" Fellowship positions at Zintellect
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(VS) has a complex ecology with multiple vector species, host species, and a wide geographic range, occurring every year in southern Mexico and semi-periodically spreading northwards to cause outbreaks
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: Demonstrated experience developing and executing human subjects protocols. Demonstrated skill in advanced quantitative analysis and familiarity with multiple software platforms for such analyses is expected
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Research Unit investigates prion diseases across multiple species, including Bovine Spongiform Encephalopathy (BSE), Chronic Wasting Disease (CWD), Scrapie, and emerging camel prion diseases. The fellows
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learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine learning approaches, develop an expertise in
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about the most recent advances in machine learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine
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, improving prediction of evolutionary trends, and integrating multiple data types for enhanced surveillance. Gaining advanced training in the use of bioinformatics platforms, phylogenetic and phylodynamic
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the appointment start date. Preferred skills: Knowledge and experience in multiple programming languages and platforms (eg Python, perl, C/C++, R, and SAS). Familiarity with NGS based sequence analysis including