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Field
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study activities; lead and manage projects. Oversee organization, synthesis and analysis of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in
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experiments, training graduate students, data analysis, scheduled reporting to funding agency and/or collaborators, as well as participating in the laboratory duties. In this role it is critical
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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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). To commence from September 1, 2025 to August 31, 2026. Applicants should possess a Bachelor's degree in STEAM education, artificial intelligence, English language education, science, mathematics
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 24 hours ago
Department of Energy (DOE), providing analysis on domestic energy policy. Its work spans technology policy, infrastructure policy, state, local, tribal, and territorial policy, and energy jobs. It provides
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will be on the use of novel ellipsometry techniques to characterize pyrocarbon and graphite-based materials. Analysis will be used to support larger irradiation efforts and interpretation of new fuel
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of virus evolution into mathematical models of spillover infection and transmission of prototype viruses representing viral families concern to support the development of methods for virus sequence analysis
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. Oversee organization, synthesis and analysis of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in meetings with principle investigator and research
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques