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implement statistical, AI and ML algorithmic solutions to real world problems in healthcare and biomedical research. You will have the opportunity to conduct computational research and collaborate with
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training event attendees. Manage the process of collecting responses, ensuring accuracy, and maintaining data integrity. Use statistical techniques and build dashboards to analyze training evaluation
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material release. Experience with general approaches to solving inverse problems, e.g., parameter estimation, optimization, and applied statistics. Experience developing computer codes. Preferred
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Laboratory’s customers. Demonstrated ability and initiative to calibrate primary standards within primary level metrology laboratory, perform basic analysis of data (including Statistical Process Control Charts
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science, statistics, and data visualization in a highly secure environment. Python workflow development. Programming experience in languages and technologies like Scala, Python, PySpark, NLP, XGBoot
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licensing recommendations for A/SMRs Inform the additive manufacturing and other advanced manufacturing industries on the use of statistics and risk to support product qualification and regulatory acceptance
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Qualifications: Requires a master’s degree in computer science, electrical engineering, mathematics, statistics, or a related field and two (2) years of relevant experience. An equivalent combination of education
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, statistical, and problem solving skills, with attention to detail and precision required. Extremely self-motivated, creative, and passionate with excellent written and oral communication skills and the ability
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a wide range of fields that include expertise in data science, statistics, nuclear engineering, and scientific computing to deliver high impact nonproliferation research, release relevant open source
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platforms, ensuring the integrity of the infrastructure. Proactively monitor, test, collect and analyze system performance statistical data to improve quality of the network environment. Diagnose and resolve