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The Machinists/Operators work under direct supervision to operate 2-5 axis CNC/Automated mill and lathe machine tools, producing intricate aerospace parts. Additionally, they handle deburring operations and basic machine maintenance tasks.
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Demonstrated experience with data mining, machine learning, data science and data interpretation techniques. Experience with data warehousing and high speed data analytics processing frameworks like Apache Spark, Kafka, Redshift etc.
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You will design and develop and train complex machine learning models. Familiar with all components in the training of ML model, including data loader, backbone search, choice of regressors/objectives/optimizers, hyperparameter search, model finetune, model quantization/optimization/format conversion.
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The Additive Manufacturing Quality Engineer will act as the command center for all data and trends related to 3D printing development and production performance. 1)Serve as the central hub for performance data and trends, leveraging advanced data analysis techniques to monitor, predict, and enhance 3D printing production efficiency.
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Showcasing excellence in refining and optimizing software for machine learning, ensuring it meets high standards of maintainability, quality, resilience, and performance. Familiarity with the graphics pipeline and 3D software packages for manipulating data.
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Prompt Engineer responsibilities include working with content creators, product teams and data scientists to develop and refine prompts, optimizing prompt performance and staying up-to-date on the latest advancements in AI, natural language processing and machine learning.
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The Data Analyst is responsible for overall DTC systems master data quality and will work with appropriate partners to ensure proper controls and audits are in place to avoid data driven issues.
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7+ years of experience in a Data Analyst, Business Analyst or similar role using SQL and/or Python/R focused on product analytics. There is synergy within the teams that makes NTWRK what it is, a well-oiled machine.
$170,000 - $185,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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We seek individuals with demonstrated expertise in the application of bioinformatics, biostatistics, computational modeling, and machine learning methods. Faculty position in Computational Immunogenetics, UCLA Immunogenetics Center, Department of Pathology and Laboratory Medicine University of California Los Angeles Requisition Number: JPF09057 The Department of Pathology & Laboratory Medicine, Division of Immunogenetics, is searching for a faculty with the skills and interest to develop a strong career that focuses on the intersection between Immunogenetics, Histocompatibility, Transplantation immunology, and Data science.
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Yourresponsibilities will be to use your biological and data science skills toanalyze large datasets, including identification of key features usingestablished or new pipelines, statistical and machine-learning analyses, datavisualization, and written & oral reporting to translational,biologic, translational and clinical teams.
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All efforts driven by the Middle School Literacy Specialist will be in service of an equitable, inclusive, rigorous, and diverse learning experience in reading, writing, listening, and speaking for all students.
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Oversee outreach and student recruitment for Women's Basketball program, including planning and coordinating student recruitment; inclusive of off campus scouting, on campus visits, communication and data collection.
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Responsibilities: Essential Job Functions Develop engineering designs for high pressure natural gas pipeline replacements. Overview: For natural gas pipelines, prepares engineering designs, specifications, studies, cost estimates and the development of sound technical recommendations.
$60,000 - $90,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Enhance our data processing pipelines to provide addition Data Quality/Error Handling (DQ/EQ) checks via kafka processors. Investigate into what new capabilities can be incorporated into the Cesium D globe data visualization environment to enhance the end users situational awareness.
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