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CMES work includes performing plant condition and performance assessments, state of the art predictive maintenance applications, Finite Element Analysis (FEA) modeling of power plant components, Computation Fluid Dynamics (CFD) modeling and laboratory stress-strain measurements and analysis.
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The role of Associate Actuary offers opportunity to lead a variety of projects throughout the year, including flood, climate change, wildfire, property ratemaking, predictive modeling, competitive analysis, and special projects.
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This work will be performed in close collaboration with pediatric neurologist and epileptologist clinician researchers and faculty at NCH.The candidate should be able to leverage both structured and unstructured data sets to create analytical solutions using tools and/or methods in at least one of the following areas: statistical and predictive modeling, machine learning, natural language processing, and geospatial analysis.
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Strong understanding of machine learning, statistical analysis, and predictive modeling. Extensive experience with Power BI, including DAX, Power Query, and data modeling. Develop predictive models and machine-learning algorithms to solve complex problems.
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At least 2 years’ experience in predictive modeling, decision analytics, data science, or related work; 3 years’ experience preferred. Extensive experience building advanced analytical solutions using best-in-class Machine Learning and Statistical Modeling techniques.
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The role brings an exciting opportunity to work with other members of the Corporate Catastrophe Solutions team within ERM, as well as senior stakeholders from the business including Underwriting, Actuarial, and Ceded Re. 1-3 years of relevant work experience in Catastrophe Modeling, preferably in Commercial Lines with a focus on portfolio modeling.
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Effective predictive maintenance program – developing and implementing a standardized monitoring program including vibration analysis, infrared inspections, non-destructive testing, and other PDM techniques throughout the facility.
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Familiarity with 3D modeling tools, SolidWorks, Autodesk (Inventor, Revit, Recap, Navisworks, Fusion 360, AutoCAD.) Familiarity with Lidar scanning, Faro scanners and Scene software. Utilize predictive maintenance tools to proactively troubleshoot equipment issues; including utilization of Artificial Intelligence (AI) models to analyze sensor data from machinery and equipment to predict failures, minimize downtime and prevent costly breakdowns.
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CPB is an exciting and fast-paced engineering center combining predictive computational modeling, machine learning, and experimental biology to develop medical countermeasures. Significant experience and advanced knowledge of developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
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Assist in the development, implementation and maintenance of a comprehensive data collection and predictive modeling tool for commercial & utility scale battery energy storage facilities, solar facilities, and collector station that assists in the prioritization of expenditures.
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EchoStar has an exciting opportunity for a Business Intelligence Analyst – System Modelingin our Hughes Network Systems division.
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4+ years of hands on experience and demonstrated ability in creating full Vehicle Safety/Trimmed Structure/Complex vehicle subsystem CAE models and analysis/synthesis of vehicle CAE loadcases per standard work.
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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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The Reliability Technician will perform the set-up of different predictive maintenance asset routes. Years of Related Experience: 3 years (preferably with predictive tool experience in an industrial.
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Participate in quarterly loss reserving, preparation of STAT and GAAP financial statements, forecasting, predictive modeling, capital modeling, data mining, developing data warehouse & dashboards.
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predictive modeling jobs Title: post doctoral fellow Company: Emory University
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