38 programming-"Multiple"-"U"-"Prof"-"O.P"-"FEMTO-ST-institute" positions at Zintellect in United States
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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production. The project will examine this through multiple case studies, including the investigation of subjective perceptions and beliefs on the adoption of soil health practices and the role carbon market
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for multiple tissue types. Mentor(s): The mentor for this opportunity is Kaitlyn Sarlo Davila (kaitlyn.sarlodavila@usda.gov ). If you have questions about the nature of the research, please contact the mentor(s
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the reference genome, we will sequence multiple isolates from various Calonectria species to investigate population diversity and evolutionary relationships. RNA-Seq–based gene expression analysis will be
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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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, 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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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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recommendation for you for this application. If you ask the same person to submit a recommendation for you for multiple applications in Zintellect, they must click the unique link in each email request, but will
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recommendation for you for this application. If you ask the same person to submit a recommendation for you for multiple applications in Zintellect, they must click the unique link in each email request, but will
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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