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Candidates must hold a Ph. D. in biomedical engineering, neuroscience, computer science, physics, or a related field. The candidate will have access to state-of-the-art facilities hosted by the Advanced Imaging Research Center, including three human 3T MRI systems (Siemens, Philips, and GE), one human 7T MRI system (Philips), and custom-built coils made by our in-house RF engineering laboratory.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Must be enrolled in an accredited college or university and be pursuing a Bachelors or Masters degree in Information Systems, Data Engineering, Data Analytics, Computer Science or other IT-related degree; or, a minor in Information Systems with a major in Accounting, Finance, Statistics or Mathematics.
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These range from, data centers, medical offices, retail, offices, K-12, higher education, administrative buildings, single-family homes, and multi-family development. - BSc in Civil Engineering or relevant degree.
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Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, Accounting, or a closely related field and three years of progressively responsible related experience in natural gas utility operations, gas measurement, transmission, and distribution; or.
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Implement and monitor data quality checks and validations to ensure reliable data for analytics and applications. Perform data engineering tasks including ETL development, testing, and deployment.
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The Quality Assurance Manager will be part of the Quality Assurance group and provide day to day Quality Engineering leadership at the EMD Electronics Dallas, TX site. Awareness of quality principles and tools such as quality engineering, reliability engineering, Design of Experiments (DoE), management of change (MOC), document control systems, quality codes and standards.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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The Supplier Quality Engineer will be responsible for executing various supplier quality engineering related activities such as Compliance, Process, and Product Audits, MRB, FAI Witnessing, Review and Sign off, Problem Solving, Corrective and Preventive Actions, Supplier Performance Reporting and other Quality Improvement Activities.
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The Data Architect will be a key player in designing and building a modern data pipeline to ingest, process, transform, and model data into the Language Services Data Lake. This role demands a seasoned professional with expertise in designing, developing, and maintaining database management systems, data architecture, data modeling, and data quality.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Work with onshore team, business analysts and other data engineering teams to ensure alignment of requirements, methodologies, and best practices. Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. Works at the clinic site (Texarkana,TX) in collaboration with the Cancer Care Leadership to ensure high quality and safe interpretation, delivery, operation, and monitoring of radiation safety policies, procedures, standards, and equipment for Radiation Oncology Services.
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Strong expertise in SAP PP configuration and implementation, including MRP, production orders, and master data management. Master Data Management: Oversee the setup and maintenance of master data related to production planning, including BOMs (Bills of Materials), routings, and work centers.
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data science engineering quality jobs Title: analytics in Dallas, RI, United Kingdom
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