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Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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Your participation on project teams will require iterative mining and modeling complex, multi-modal data to drive drug discovery and early development. Hands-on experience in integration of large multi-omics data (genomics, transcriptomics, proteomics and metabolomics) to answer key scientific questions related to precision medicine and understanding disease.
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Theoretical fluency and working proficiency in the application of a broad array of statistical and quantitative methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.
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Preferred QualificationsYou will wow us even more if you have these skills:- Proven experience with data science/advanced data analytic techniques, such as using python, R, or other scripting languages- Proven experience with statistical data mining techniquesThe ideal candidate has a demonstrated aptitude for problem solving complex technical issues and thinking outside the box.
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The Senior Research Director is expected have extensive experience, evidenced by high quality publications and presentations, with advanced quantitative methods such as generalized latent variable modeling, machine and deep learning, and as well as with applications of these methods to assessment development and data analytics issues such as automated item generation, automated scoring, sequence data mining, and automated test assembly.
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The Department of Mining Engineering, College of Mines and Earth Sciences at the University of Utah invites applications for a tenure-track assistant professor or associate professor position. Proposed Faculty Rank Assistant/Associate Professor Department 00111 - Mining Engineering City Salt Lake City, UT Track Tenure Track New Position to Begin January 1, 2024 Details.
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We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. We operate through four global businesses: Infrastructure; Nuclear, Security & Environmental; Energy; and Mining & Metals.
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Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) This role requires understanding and experience of data and analytics within the Money Management business domain including Bank internal and 3rd Party account aggregation, income flow, spend behavior, transaction enrichment, acquisition opportunities, and personalized financial insights.
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In this role, you will provide technical assistance and apply skills related to project management, engineering design, slope stability, field investigations, construction quality assurance, and permitting, for solid waste infrastructure and aggregate mining projects and systems in both the public and private sectors.
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The IT Analyst, Master Data Management will play a critical role in defining, coordinating, implementing, and technically enabling MDM for data across various systems relevant to Komatsu North America Region and Global Mining.
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Your Impact Determine well-defined methods for collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Tasks may include assisting with the design, concept development, planning, and construction of solid waste and mining facilities, roads, and buildings. Assist in the analysis, evaluation, and interpretation of data obtained during field investigations, offering input with developing action plans for moderate- to high-level risk mitigation activities.
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Professional experience in Money Management data domain(s) including Bank internal and 3rd Party account aggregation, income flow, spend behavior, transaction enrichment, acquisition opportunities, and personalized financial insights.
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Comply with regulatory requirements pertaining to the data integrity, documentation, procedures, training, monitoring systems, and record compliance and retention. Developed critical thinking and problem-solving skills required to apply technical knowledge to reach conclusions from testing results, data collation, statistical analysis and arriving at the most effective, economical, and logical solution.
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Prepare data and visualizations such as tables, charts, accurate reports, sketches, calculations, and illustrations for the interpretation or presentation of data, findings, or analyses.
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data mining jobs Title: financial analyst Company: Cbre
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