40 Statistics "University of Wisconsin Whitewater" uni jobs at Oak Ridge National Laboratory in america
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the following preferred qualifications, though none are required: Extensive experience and fluency in Python and R computer languages. Background in statistics and data analytics. Previous experience in
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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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Qualifications: PhD in physics, nuclear engineering, mathematics, statistics, or a related field with a minimum of 2 years of research or laboratory experience Demonstrated capabilities and experience in data
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, statistical, probabilistic, or algorithmic solutions to address real world problems in the healthcare and biomedical research using DOE leadership computing resources. Major Duties and Responsibilities: As a
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to the built environment and human activity spaces. Major Duties/Responsibilities: Develop new and existing population and geodemographic models through statistical or computational methods for improvements
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: Familiarity with numerical calculations and statistical data analysis Ability to work creatively and cooperatively as a member of an interdisciplinary research team Strong interpersonal and communication skills
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: Familiarity with numerical calculations and statistical data analysis Ability to work creatively and cooperatively as a member of an interdisciplinary research team Strong interpersonal and communication skills
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. Analysts then break down the problem into its various parts using statistical and database software and analytical techniques, such as forecasting, data mining, regression analysis, apparent and root cause
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controls. Perform analysis, comparison, review and/or validation of data, resulting in determination of effectiveness of financial controls. Analyses will involve critical thinking and moderate statistical
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after emergencies. Analyze large-scale datasets from diverse sources to extract insights relevant to grid resilience and equity analysis. Apply statistical techniques and machine learning algorithms