26 programming-"Multiple"-"U"-"O.P"-"FEMTO-ST-institute"-"St" positions at Zintellect
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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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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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multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must be in English
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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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capabilities to simultaneously address multiple axes of complexity for future Robotics and Autonomous Systems (RAS) operational concepts. About ARL-RAP The Army Research Laboratory Research Associateship Program
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engineering, computer science, or related fields Expertise in machine-learning and/or online BCI Advanced programming skills (i.e. Python, Matlab, R) and strong experience in algorithmic design, mathematical