67 distributed-computing-"St"-"University-of-St"-"St" Fellowship positions at Zintellect in United States
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. Research Project: The project proposes to address gaps in knowledge of Caribbean tree species distribution focusing on assessing patterns of species richness, diversity, turnover, and endemism. The project
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an additional health insurance and travel supplements. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract
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, vegetable and ornamental crops grown in the Pacific Basin. The long-term goals of our research program are to develop and protect U.S export markets for fresh tropical commodities. An emphasis is placed
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Program of the USDA ARS offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome
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scientific information for distribution to resource managers or other interested audiences. Learning Objectives: Participants will learn about: Conducting user-engaged science Invasive species concerns and
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effective climate adaptation in PJ woodlands. First, managers need to know how climate change will alter the ecological potential of their PJ woodlands (e.g. the potential distribution of plant species, and
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pathogens of importance to the Department of Defense (DoD). The experience is designed to provide you exposure to cutting-edge methods in viral evolution, high-throughput sequencing, and computational
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and poultry to generate knowledge and technology that reduces economic losses, prevents foodborne illnesses, and decreases animal suffering and death. Our prion research program at Virus and Prion
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for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
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findings will be encouraged and supported. Learning Objectives: The fellow will have the opportunity to gain or expand skillsets over a range of computational techniques needed for modern agricultural