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Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.
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Texas A&M AgriLife Research at El Paso, TX is currently seeking a postdoctoral research associate who possesses a strong background in soil science with experience in greenhouse gases (GHG) measurements and modeling.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Catastrophe models depend fundamentally on the hierarchical modeling of physical space-time processes, inference from heterogeneous and incomplete calibration data, and ensemble techniques to quantify uncertainties.
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We are looking for a contractor in the healthcare space who has a concrete & proven experience in data research, in areas such as data curation, database modeling / querying, statistics, data science or academic research.
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Senior 1 airport operations research analyst / data scientist requirements:Bachelor's degree in operations research, computer science, engineering, business, mathematics, information systems, management science, aviation, aeronautical, or air traffic management/science.
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Experience in predictive modeling, data science, and analysis in both batch and streaming settings. Category: Analytics, Data Science & Data Gov. In-depth knowledge of statistical analysis, EDA, modeling, and machine learning techniques.
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Developing and executing model-based analyses including translational PK/PD approaches, population pharmacokinetic models, exposure-response models, clinical trial design simulation, disease progression models, quantitative systems pharmacology (QSP) modeling into programs, comparator modeling, thereby strengthening our pharmacometrics capabilities on a continuous basis in decision making and driving pipeline impact.
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The ideal candidate for the postdoc will combine a strong understanding of agricultural production and the tasks typically performed, potentially through their expertise in agricultural economics, and an understanding of frontier methods in Natural Language Modeling, Large Language Models, and Big Data Management and Analytics.
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Bachelor's degree in a relevant field; a master's in data science, analytics, or a related discipline is preferred Strong analytical skills, with expertise in data analysis, statistical modeling, and data visualization tools.
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Research Assistants' tasks include data collection, preparation, and analysis (e.g., data extraction and merging, summary statistics and regression analysis), support to modeling and simulation, computer programming, literature reviews, note-taking, writing, preparation of draft documents and presentations and coordination of work among project team members.
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Master's degree in Biostatistics, Statistics, Public Health, Data Science, or a related field and a Minimum of six (6) years of progressive corporate, non-profit, or consulting experience, including a Minimum of four (4) years in data analytics or directly related field.
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Qualified applicants must have an interest in wildfire related research, preferably with training in remote sensing, geographic information science, spatial statistical modeling, and fire ecology.
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At least six years of experience in Data Science or Modeling for consumer lending, two years of leadership experience in highly quantitative teams; Professional experience waived with at least four years of Data Science or Modeling experience and Ph. D. Degree in highly quantitative field (Statistics, Economics, Mathematics, or other quantitatively oriented degree.
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As a member of the Translational Research & Data Science group in DAx, your role as Senior Expert Data Scientist I will leverage your experience and knowledge in general medicine unmet needs, especially renal maladies.
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