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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Experience with deep learning frameworks (PyTorch, TensorFlow, or Keras) and deep learning architectures for NLP transformer models (LSTMs, and RNNs.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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SUMMARYThe Museum Education Specialist - Lead supports the National Museum of the United States Army (NMUSA) by providing programmatic support to the Experiential Learning Center (ELC). The Experiential Learning Center (ELC) offers a unique and immersive learning space for all visitors to develop skills and have fun with Geography, Science, Technology, Engineering and Math (GSTEM) through education and Video Teleconferencing (VTC) learning programs, and in-person and virtual educational programming.
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The ideal candidate will meet the following requirements: Strong proponent of inclusionComfortable providing in-class support and pull-out instruction for small groupsAble to collaborate with general education and special education teachersBachelor's degree preferredExperience as a special education aide or similar role preferredExperience working with children with a wide range of abilitiesEnjoy working with youth, and a desire to help students grow in faith, knowledge, and service.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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To allow a better understanding of the Postal Service Mail Processor position, the following is a brief description. Mail Processor is one of the most important jobs of the Postal Service.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Experience in applying statistical and machine learning methods such as regression, classification, clustering, time series, natural language processing, deep learning, etc. Understand and apply advanced statistical and machine learning techniques to build predictive models, optimization algorithms, and simulation scenarios.
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Position Summary:As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs.
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We at Ourisman Honda of Tysons Corner in Viennaare seeking Automotive Service Technicians to join our growing team. Communicate directly with the Service Advisor so that customers can be informed if any additional service is needed.
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Must have some hands-on working experience with Jenkins CaC/Job DSL, Groovy, JSON, YAML, Ansible, Git, and familiarity with at least one major CSP (Azure/AWS/GCP/OCI) and its core service offerings.
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The Afghanistan's Monitoring, Evaluation, and Learning Activity project (AMELA) is a USAID activity designed to capitalize designed to capitalize on the experience derived from past projects (both USAID and non-USAID), programs, and policies to contribute to improvements in project or program performance and promote organizational learning.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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service machine learning jobs Title: manager in Springfield, VA
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