196 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"PhD-Jobs" positions at Zintellect
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are looking for a fellow to engage in research and tool development that addresses atmospheric influences on lower intensity fires, more typical of prescribed fires than wildfires. The area of research is
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technologies required to make that future possible. We’ve long touted our success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL
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of the Commodity Protection and Quality Research Unit is to develop new and improved management strategies for insect and plant pathogen pests associated with fresh and stored horticultural commodities, to meet
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for effective health and human services and by fostering sound, sustained advances in the sciences underlying medicine, public health, and social services. ASPE advises the HHS Secretary on policy development
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Project: The participant will be assigned to research pertaining to USDA-ARS project 6054-42000-025-00D entitled “Development of Aflatoxin Resistant Corn Lines Using Omic Technologies.” in the FFSRU
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-resistant weeds, supporting the development of sustainable agricultural practices. The successful candidate is expected to (1) help develop novel methods that incorporate advanced technologies for detecting
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leadership in agricultural discoveries through scientific excellence. The mission of the Tropical Pest Genetics and Molecular Biology Research Unit is to develop new technologies in pest management, improve
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develop validated diagnostics, pathogen resources, and containment strategies, advancing the goals of the National Farm Security Action Plan to protect producers, safeguard rural economies, and preserve U.S
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Pre-Breeding program in the Grape Genetics Research Unit (GGRU) aimed at the development of grape germplasm. Recent advances in our understanding of the genetics of important traits of grapevine, along
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affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With