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Ongoing Training (RSO, Systems, Software Programs, OSHA Safety, JJ Keller, etc.) Experience in SAP Master Data Management, Material Management, Manufacturing, Procurement, Planning, Logistics.
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Perform journey-level HVAC work in installation, Start-up and repair of a wide variety of systems that may include RTU, chillers, boilers, heat pumps, air handlers, cooling towers, hydronic systems, multi-zone, VFD, VRF, VAV, VSD systems, gas/electric water heaters, steam and water source systems, controls and automation systems as well as refrigeration: DX, CO2, Glycol, Propane, Ammonia.
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Many CWR projects involve the development of data management and decision support systems to help water managers understand, evaluate, analyze, and ultimately make decisions regarding their water systems.
$122,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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TSC’s Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and development research facility, dedicated to R&D in the areas of computational neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems and computer vision.
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Duke Utility & Engineering Services (DUES) includes the following operating units that provide a full range of utility and engineering services to the Duke Campus and Medical Center: Chilled Water, Steam, Electrical HV Systems, Water (including water, sewer, and stormwater), Energy Management, and Engineering.
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An interest in in water resources principals including hydrology, hydraulics, water resources management, floodplain mapping, water quality, and the related data is a plus.
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Who are passionate and knowledgeable of NLP/machine learning engineering principles and methodologies and exhibit proficiency in design, integration, testing and troubleshooting. Job Title Senior Machine Learning Engineer – Knowledge Graph.
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An Insight Global client is looking for a senior Python software developer to work in our Agile engineering team working on new features and improvements to our customer integration system, which comprises primarily of Python code deployed into Microsoft azure functions, Azure SQL Database, Azure API management, with some Azure Logic Apps, and Azure data factory, deployed using Azure DevOps CI/CD pipelines.
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Responsibilities include assisting with the design of water/wastewater and other civil engineering projects; evaluating and analyzing existing projects; coordinating with multiple utility owners, SCDOT, NCDOT, municipalities and regulatory agencies; preparing or modifying reports, specifications, plans, schedules, studies, permits, and designs for projects; preparing design computations and quantity estimates; developing construction cost estimates for projects within the department.
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Drive the development of advanced analytics capabilities, including predictive modeling, machine learning, and AI to support Market Access decisions. Partner with Tech to design and oversee the data architecture to ensure scalability, flexibility, and integration of data systems.
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Required 5 Years Experience with Business Intelligence tools such as Business Objects or BIRT Highly desired 5 Years Experience with Agile (Scrum, Kanban, or SAFe) development Highly desired 2 Years Data Warehouse experience Highly desired 2 Years Familiarity with Amazon RedShift & Tableau Desired 2 Years Experience with Dell Boomi.
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B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap® and CAPS®. Promotes sales of B. Braun Interventional Systems, Inc. products in an assigned territory region through direct interaction with new and established Interventional customers.
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Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude.
$127,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Outstanding Ph. D. graduate (or anticipated defense within 1 year of application date) with technical depth in engineering, technology, or sciences fields; for example, mechanical engineering, electrical engineering, biomedical engineering, chemical engineering, materials science, chemistry, biochemistry, cell biology, computer science, data science, and related fields.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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