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Working knowledge of computer and software applications used in job functions (Order entry, data input). Responsibilities:The Licensed Vocational Nurse/Licensed Professional Nurse LVN / LPN is responsible for the direct and indirect nursing care of all patients ranging in age from 18 years to geriatric experiencing medically complex conditions, general medical-surgical conditions, with rehabilitation and/or wound care needs.
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Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards. Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue.
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Familiarity with BMIDE (Business Modeler Integrated Development Environment) and its utilization for configuring and customizing Teamcenter data models, data types, and data structures.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Association of Diving Contractors International (ADCI) Entry Level Tender/Diver, Air Diver, or Air-Diving Supervisor certification is preferred. Conduct load ratings based on gathered field data and as-built plans.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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You will specialize in building cloud-based data platforms incorporating advanced data engineering, data analytics and artificial intelligence technologies for Renewable Energy clients.
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CFA certification Subject matter expertise with the Financial Asset Management Industry domains along with experience with external vendor products Including Eagle Data Management, Rimes, BlackRock Aladdin, State Street, Morningstar, and Bloomberg.
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The Project Management Office (PMO) within AMD's Data Center GPU (DCGPU) group has an immediate opening for a GPU Program Management Director. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems.
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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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These research systems handle high data rate digital signal processing and beamforming, interfacing with accessory devices, memory, and networks using bare-metal and real-time processing. Sonar, Acoustics, Medical Ultrasound, Radar, Maritime Research, Signal Processing Algorithms and Techniques.
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Intraoperative Monitoring:During surgery, interacts with the surgical team and surgeons to provide interpretive data regarding the patient’s neurological status. Equipment Setup:Calibrates, evaluates, and adjusts equipment, optimizing recording and stimulation parameters, to acquire salient data and information.
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Senior Data Scientist – Denver, CO - Austin, TXEnterprise Risk and Compliance is looking to continue to evolve its best-in-class risk and compliance technology program in the areas of transaction monitoring, screening, reporting and overall risk management.
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data entry jobs Title: order entry specialist in Austin, TX
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Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.