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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Understanding of and experience using multiple statistical and machine learning modeling techniques (e.g., generalized linear models, tree-based classification, network analysis, simulation modeling, inferential statistics, natural language processing, other structured and unstructured analytical methods.
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Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache SparkScrum MasterAdvanced degree (MS or MBA.
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As the chief clinical training site for the Lewis Katz School of Medicine at Temple University, the hospital provides a dynamic environment for high-quality care, teaching, and cutting edge research.
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Utilizing cutting-edge technology including Hadoop, Hive, Machine Learning and Deep Learning to ingest network and call data for products including Glip, RC Meetings and multiple databases.
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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. Natural Language Processing (NLP) skills.
$92,500 - $158,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Natural language processing experience particularly in the biological and medical domains preferred. Perform exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types under direct supervision.
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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
$24.63 - $39.27 an hourFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Graduate of certified sterile processing technician training program. The Sterile Processing Technician is responsible for daily operations to support the operating rooms and various other units as needed.
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Temple Health consists of Temple University Hospital (TUH), Fox Chase Cancer Center, TUH-Jeanes Campus, TUH-Episcopal Campus, TUH-Northeastern Campus, Temple Physicians, Inc., and Temple Transport Team. Temple Health is proudly affiliated with the Lewis Katz School of Medicine at Temple University.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV.
$73,000 - $220,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We also want to ensure that Ubuntu is the very best platform for Rust development, offering easy access to the widest range of tooling and capabilities that support cutting edge open source and enterprise development.
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Business Data Analytics, Computer Science, Data Science, Deep Learning, Machine Learning, Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorch.
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machine learning natural language processing cutting edge jobs Title: data scientist Company: University Of Wisconsin in Philadelphia, PA
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