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And knowledge of code compilation and development on Linux Demonstrated verbal and written communication skills is required Desired Qualifications: An active secret level security clearanceExperience developing codes for modeling and simulation for engineering applicationsExperience with key aspects of hypersonic system modeling such as: hypersonic boundary layer and heat transfer modeling, ablation, non-equilibrium thermodynamics, chemistry modeling, turbulence, etc.
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General Summary of Position:Engineering Biology:The successful applicants will work on one or two projects investigating the 1) digital integration of freeze-drying (lyophilization) of biologics and mRNA, 2) digital twin modeling system development of biologics, 3) synthetic biology project of biologics, Cell&Gene therapy biomanufacturing, and 4) mRNA continuous production process.
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As an Applied AI Modeling Lead, in our Business Modeling organization, you will work with colleagues across JPMorgan Chase to create high-impact quantitative finance models for stress testing (CCAR/DFAST), decision optimization, and strategic planning.
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The candidate will be working on tasks for open and closed drainage design, hydrologic and hydraulic modeling, flood studies and watershed modeling, FEMA compliance documentation, stormwater master planning, scour analysis, erosion and sediment control design, and plan development, design computations, reporting, and documentation for all projects as needed.
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Primary Responsibilities Provide multi-domain/multiphysics physical virtual modeling subject matter expertise for the Company's projects related to electrical engineering and modeling and simulation, particularly in the development and application of digital twins for Electrical Power and Energy Systems components and systems including electric machinery, gas turbines, diesel generators, propulsion systems, batteries, power electronics, switchgear, etc.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your role will involve providing technical analysis, modeling, and simulation to ensure our designs meet stringent signal integrity and power integrity requirements. Your knowledge of PCB board stack-up and proficiency with simulation and modeling tools like Hspice, ADS, HFSS, and PowerSI are exceptional.
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Technical competence in at least two of the following disciplines: meteorology, physical oceanography, hydrology/land modeling, cryosphere physics, water resources, and computer science. Coordinate with WPO S2S program to bridge meteorological, oceanographic, cryospheric, or land/hydrological modeling research across timescales, facilitating early development and transitions to operations across NOAA.
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In this role you will be responsible for detailed thermo-mechanical modeling in support of design and operations of the thermal energy storage modules. 4+ years of professional experience in hardware modeling roles with 2+ years experience as lead engineer on multi-physics FEA.
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Demonstrated ability in asset modeling and derivative valuations and experience in coding in languages such as MATLAB, SAS, R, Python, etc. Pacific Life Risk Management's oversight of aggregate credit risk across the investment portfolio within risk appetite and supporting stress testing internal capital modeling capabilities.
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Experience with 3D modeling programs, including CREO, Solid Edge, or Inventor. Experience with 3D modeling and 2D computer-aided drafting (CAD) using SOLIDWORKS or AutoCAD. Knowledge of 3D modeling techniques and best practices.
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Two (2) years of experience with applying statistics and psychometrics concepts, including classical test theory, item response theory, structural equation modeling, and mixed-effects modeling; applying AI and machine learning to measurement in education; educational data mining; scientific programming environments (R, Python, Stata, and/or MATLAB scripting); and/or, mathematical foundations of modern statistical and machine learning methods.
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Prepare property insurance policy data for catastrophe risk analysis using SQL and other data conversion tools, and run catastrophe modeling software for client and prospect portfolio analyses.
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The Methods Analyst I will be responsible for reviewing reinsurance, insurance program structure, policy terms & conditions, and system data for accuracy and validating the data for use in natural catastrophe modeling software.
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Proficiency in other 3D modeling software such as SolidWorks or PTC Creo. Proficiency in Autodesk software, specifically Revit/BIM Cloud Modeling, with a minimum of 5 years of experience.
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modeling job Company: Boys Girls Club Of Central
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