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checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Preferences: Preferences: Documented research experience specific to information science either as
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science. The Data Engineer Infrastructure Specialist’s responsibilities include: Designing, building, and testing computational systems to support multidisciplinary research Developing written guidance and
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Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Education: Master’s degree in Systems Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field
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: Education: Bachelor’s degree (or higher) in data science, computer science, statistics, or related fields. Experience: 1+ years of experience managing cloud-based computational infrastructure, tools, and
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Posting Details Posting Details Position Number: 128540 Title: Program Specialist Functional Title: Program Security Specialist Category Status: 33-Exempt Regular Applicant Search Category: Staff
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leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our
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-machine teaming. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Education: Applicants are required to have received a Ph.D. in Engineering, Computer Science, or a
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leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our
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consideration, particularly those with experience in multiple areas. These include: Computational social science (including agent-based modeling and simulation, social media analysis, behavioral economics, game
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/organizational psychology, and teamwork and group dynamics Computational social science (including agent-based modeling and simulation, social media analysis, behavioral economics, game theory, predictive modeling