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1+ years of experience in advanced data analysis (using JMP, GAJT and/or SQL), statistical process control (SPC), and design of experiment (DOE) principles. Collaborates with Yield Analysis, Device and Defect Engineers, SPPD (SiP Product Division) designers, and Process Engineers to ensure new processes and products are capable of meeting yield and reliability requirements at the time of PRQ, and setup systems that enable best balance of manufacturability and quality for Production Ramp.
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The Accident Consequence Modeling and Analysis Department (ACMAD) supports the Nuclear Regulatory Commission (NRC) and Department of Energy (DOE) by providing experts in the Modeling of the Atmospheric Transport, Environmental, and Economic impact of released Nuclear Material as well as expertise in severe accident phenomenology; for both Emergency Response, Emergency Preparedness, Licensing applications, and basic scientific research.
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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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From basic research and development to fully deployed operational data processing and analysis systems, the department specializes in software feature development, geophysics, seismology/infrasound, machine learning, big data analytics, algorithm development and data analysis.
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Certification in one of the following: Certified Knowledge Manager; Project Management Professional; Business Analysis Professional; Business Intelligence Professional. Active DOE Q or DOD TS clearance.
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Ability to write and operate software (e.g. MATLAB, PHYTON, COMSOL, LUMERICAL, ZEMAX, LABVIEW, SOLIDWORK) for data collection and analysis. LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory.
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The Contractor will provide Fire Protection Design Engineering staff augmentation support to SRNS.Primary responsibilities include engineering task analysis, walk-downs, design development and generation of design output documents.
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In this position, you will be responsible for piping analysis work on new generation nuclear projects and DOE projects, and will interface with systems engineering, structural engineering, piping design, and support design groups, for the design of piping systems and pipe supporting elements.
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Strong statistical skills include but not limited to statistical process control (SPC), capability analysis, linear regressions, categorical data analysis and design of experiment (DOE.
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Basic understanding on OEE, plant performance, root cause analysis, process continuous improvement and Six Sigma tools/improvement cycle. Location Description: Michael Foods, Inc. located in Klingerstown, Pennyslvania known for their ice cream socials at Klingerstown Lutheran Parish, fishing rodeo, and fireman's parade.
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Strategic Influence; New Product Development; Creativity; Research Designs; Design of Experiments (DOE); Design Thinking; Statistical Analysis; Accountability; Quantitative Research; Innovation Development; Proactive Problem Solving; Consumer Sciences; Qualitative Research; Communication; Compliance; Consumer Research; Interpersonal Influence; Teamwork; Negotiation; Sensory Research.
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Preparation and management of applications for environmental permits, including COE/DOE IPs/NWPs, with NMFS/USF&WS for ESA, and NHPA Section 106; WDFW HPAs; DNR FPAs; DOE SMPs; local agency permits; and NEPA/SEPA.
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Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense. Field activities may include visual surveys for field sites, water level measurement in wells, groundwater sampling, collection and interpretation of drill cuttings, geologic mapping and interpretation, knowledge of groundwater characterization and analysis, water quality measurements (pH, electrical conductivity, turbidity), and installation of instrumentation in wells for the collection of data using various sensors and data loggers.
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Bachelors degree in Electrical Engineering, Physics or related scientific disciplineExperience with manufacturing process and process improvements Experience with statistical analysis methods, such as, DOE, Gage R&RExperience with failure modes and effects analysis Understands key aspects of packaging opto-electronic devicesExperience with reliability of packages and the impact of packaging on device reliabilityExperienced in statistical analysis software such as JMP, Minitab, etc.
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Eager to learn and challenge yourself; self-directed, detail oriented, reliable, and strong initiative Strong statistical skills include but not limited to statistical process control (SPC), capability analysis, linear regressions, categorical data analysis and design of experiment (DOE.
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