289 computing "https:" "https:" "https:" "Dublin City University" positions at Zintellect
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: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science
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, are profoundly important for U.S. agriculture, contributing to its productivity and resilience. The Postdoctoral Program of the USDA ARS offers research opportunities for motivated postdoctoral fellows interested
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specimen-based research and long-term curation. Bioinformatics and computational analyses will be supported by USDA’s SCINet high-performance computing infrastructure, which provides large-scale computing
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computing, software development, geospatial or time series modeling, and mathematical modeling, or other areas of interest. This opportunity represents a unique window into the food safety regulatory
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Scholars Program, visit https://orise.orau.gov/doescholars or contact us at doescholars@orise.orau.gov . The DOE Scholars Program offers multiple opportunities during the year to accommodate the needs and
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Education (ORISE) participant, you will join and learn from a community of scientists, engineers and researchers involved in a program that explores nonlinear optical materials patterned into metasurfaces
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, program rules, and availability of the participant. What are the provisions? You will receive a stipend to be determined by DEVCOM-CBC. Stipends are typically based on a participant’s academic standing
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mycobateria and brucella families in various species of animals using serological tests as part of the eradication program. Learning Objectives: The participant will have the opportunity to learn about zoonotic
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a ten-week research appointment, with the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules
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(FABADRU) and public databases. Learn to prioritize and rank candidate host proteins involved in arbovirus replication using computational and statistical approaches. Develop skills in computational