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Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior Aerodynamics experience with flight vehicles. You will be responsible for developing an aerodynamics model using computational fluid dynamics (CFD), empirical data, and wind tunnel test data.
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By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Familiarity with advanced computer engineering, optimization, analytics and database tools such as Llamasoft Supply Chain Guru, Databases and SQL, Tableau, AutoCAD, Sysco Suite of Applications SWMS, FLEX, Optislot, Roadnet, SOS, SLS, STS, Telogis, SUS, TMS, DPM and SAP, I2 Supply Chain Strategist, SAS, R.
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The ideal candidate will have a strong background in chemistry, chemical engineering, materials science, and catalysis, with hands-on experience in synthesis and development of novel catalyst synthesis and characterization techniques.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Electrical or mechanical engineering: PCB design, layout and fabrication, working with sensors and electrical components (relays, solenoids, actuators, pneumatics, servos, motors), systems integration.
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Computer Science, Computer Information Systems (CIS), or Management Information Systems (MIS) degree is preferred. + Proficiency in managing application backlog using tools like ADO TFS or Jira. + Bachelor of Science degree from a 4-year accredited university, or 5 years of related industry experience or equivalent technical experience.
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Perform the IT coordination function which includes representing the division at the bi-monthly IT coordinator meetings; respond to EA, Center, and Agency data calls and actions; support the weekly IRD Enterprise Services Integration meeting (ISIM); IRD liaison for EUSO seat refreshes; route and escalate IT issues to the responsible Engineering or NASA IT support resource for mitigation.
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Bachelor’s degree in Math, Computer Science, Engineering, Business Administration, or relevant practical experience preferred. Data Integration and ETL: Develop and maintain advanced Data Engineering processes and patterns using Spark, Python, Scala, Databricks, Azure Data Factory and other relevant tools to integrate data from various sources.
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Previous OSP engineering and Field data collection experience, along with working knowledge of client software systems including, ARAMIS, BST-CAD, OSPCM, JMS (OPEDS), AOtX, AOTS, PLANET, CEEOT, MMT, PM Tool, EFACTS, MIC, LFACS, GRANITE and OCALC. The ideal candidate will have expert level experience with Customer Quality Control metrics, work print design, FTIs, and other measures to ensure first time acceptance.
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This policy affects all employees, residents, fellows, students, contractors, new hires, visiting scholars program participants, adjunct faculty, and volunteers who work, train, or collaborate at the John S. Dunn Behavioral Science Center.
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Experience using database, engineering, and geoscience software, including Harmony, StimPlan, ResFrac, PetroVR, Spotfire, Mosaic. The Unconventional Reservoir Engineering Sr. role for Apache Corporation will be a member of Apache's Reservoir Engineering team at the company's Houston, TX office reporting to the Unconventional Function Lead. This person will work with a multi-disciplinary team responsible for the assessment and development of Apache's domestic assets.
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Use public data sources to evaluate domestic Upstream conventional and unconventional assets, Midstream assets and Clean Technologies in the US Lower 48, Gulf of Mexico, Latin America, West Africa, and Asia. Perform decline curve analysis (DCA) on existing asset volumes, analyze well spacing and completion trends to determine optimal well performance, and predict future well performance by creating type curves specific to asset areas.
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Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law.
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computer science data engineering jobs Title: analytics advisor in Houston, Wailuku, Hawaii
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