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. The agent will operate at multiple levels. Infrastructure assistance: automating cross-platform installation, dependency management, compilation, and HPC/cloud optimization. Modeling intelligence: supporting
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like convolutional spectroscopy, drone-mounted sensors, and experiments to understand the impact of aerosols on thermal blooming, cloud transmission, and RF/microwave link performance under varying
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or related areas. A PhD in physics, mathematics or related subject is required. The ideal candidate will be able to work independently with good written and oral skills in English, be a proficient presenter
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-on skills to demonstrate the use of quantum machines and hybrid classical/quantum in the cloud for use cases relevant to DHS. Applicants must have a background or be pursuing a quantum computing degree and
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experience under the mentorship of PhD-level scientists in experimental design, application of various entomological and molecular research techniques, and data analysis. Opportunities for active participation
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(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired
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educational program that allows undergraduate through PhD students and recent bachelor’s and master's degree graduates to participate in a paid research experience at a Department of Defense laboratory over
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/university with a research interest in NETL core R&D areas. The ideal candidate would have some, but not necessarily all, of the following: 1. A PhD in Chemical Engineering, Material Science, Chemistry or a
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information, visit the ORISE Research Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will have a Bachelor's, Master's, or PhD in Healthcare Informatics, Data
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= $9,000 Master's Student or Early PhD Student (less than 2 years in degree program) = $12,000 Advanced PhD Student (2 or more years in degree program) = $15,000 Relocation Allowance: $500 About AFRL AFRL