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innovative ideas to move the proposed research forward. There are multiple opportunities available to engage in your applied research and evaluation interests. Where will I be located? Location Varies What is
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. Team Player: Ability to perform collaboratively in multidisciplinary teams and manage multiple project tasks effectively. Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Master's Degree
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other AFRL researchers & visiting faculties. -Given your knowledge in machine learning and atomistic simulations, it is expected that the technical aspects of the project will align well with your
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landscape within the Forest Service designated FHFESD lands. These are aligned with the planning documents such as the Six Rivers National Forest Hazardous Fuels and Fire Management Project (2023). Learning
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on the opportunity to which you have applied, as well as a secure link to submit a recommendation for you for this application. If you ask the same person to submit a recommendation for you for multiple applications
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://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 schedule of individual sponsoring
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the opportunity to independently utilize your skills and engage with experts in innovative ideas to move the proposed research forward. There are multiple opportunities available to engage in your applied research
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of Excellence (EACE) is a unique organization within the DoD consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities across the nation. In line with the
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recommendation for 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
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to integrate multiple data sources through machine learning and regression modeling to predict post-fire landscape attributes from field-based and remotely sensed vegetation and fuel structure metrics