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? This appointment is a six-month research appointment, with the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program
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. Research Project: The participant will be involved in research studies being conducted by the Forest and Woodland Ecosystems Program at the Rocky Mountain Research Station Located in Fort Collins, Colorado
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for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the benefits? The stipend range
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for transportation and industry, and make the U.S. power system more reliable, affordable, and resilient. Innovator Fellows can spend up to two years participating in the program. When completing this application, you
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additional experience in computation and modeling Where will I be located? Dayton, Ohio What is the anticipated start date? Exact start dates will be determined at the time of selection and in coordination
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Health (DCPH), please visit https://ph.health.mil/Pages/About.aspx . About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department
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availability, project assignment, program rules, and availability of the participant. What are the provisions? You will receive a stipend to be determined by DEVCOM-SC. The stipend range for this opportunity is
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the mission. Gain experience in developing new diagnostic assays to support the Chem-Bio Defense Program (CBDP), participate in sample testing from OCONUS and internal projects for the detection of high
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in either BSL-3 or BSL-4 high containment laboratories. This appointment will require enrollment in a Biological Personnel Reliability Program (BPRP). Where will I be located? Fort Detrick, Maryland
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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis