142 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" "Prof" positions at Zintellect
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The Department of Defense (DoD) is offering a postdoctoral fellowship at the U.S. Army Medical Research and Development Command - Medical Research Institute of Infectious Diseases (USAMRDC MRIID). What will I be
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for Science and Education (ORISE) participant and under the guidance of a mentor, you will join a community of scientists and researchers to develop and field new and upgraded instrumentation equipment
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areas. These include, but are not limited to: Developing, optimizing, and implementing multiple In Vitro lung models to evaluate the compounds that cannot be assessed using traditional animal models
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you for 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
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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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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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, engineers, and researchers in an effort to develop medical automation research solutions. You will support various engineering and computer science aspects of research projects focused on optimizing combat
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activities, including: Performing a confined space inventory audit Developing visual safety aids and training materials Developing personnel protective equipment and machine tool guarding guides and standard
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pathogens and pests utilizing host genetics and knowledge of population dynamics; and, 7) acquire, maintain, develop evaluate, characterize, and distribute genetic and cytogenetic stocks of maize. Research
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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