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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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Experience in using digital signal processing and machine learning techniques. Machine learning/artificial intelligence/computer vision. Learning opportunities and tuition assistance.
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The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth informatics and signal processing.
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This includes mind-blowing machine learning algorithms and Digital Signal Processing (DSP) that will take our innovative products to the next level. Develops tools for the ML/AI lab such as standalone applications, software libraries, profiling tools, and audio processing simulation tools that demonstrate machine learning and signal processing capabilities.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
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This Intern designs and develops cloud-based data processing pipelines, machine learning predictive models, data visualization dashboards and other data driven systems. Beyond exposure to “real life” projects, the internship also delivers a variety of global and local learning and networking events.
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Additional Details: The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases.
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Conduct NLP (Natural language processing) using customized dialog flows intents, AI (Artificial Intelligent), machine learning, algorithms, trained predictive Modeling, and Deep Personalization on the UI (User Interface) using AEM (Abode Experience Manager.
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Experience designing and implementing real-time Machine Learning (ML) based voice processing algorithms for embedded systems or mobile platforms. Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data.
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Currently pursuing a Ph. D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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About the RoleAs a Machine Learning Engineer - Technical Lead II for Crowe Intelligent Document Analyzer (CIDA), you will design the future of this document extraction product as it transitions from a combination of Natural Language Processing and embeddings models to fully integrate with Crowe’s in-house Generative AI platform and to leverage Large Language Models (LLMs.
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2+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
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Algorithm Development, Artificial Intelligence, Embedded Systems, Electronic Warfare, Image Processing, Machine Learning, Military Vehicles, Modeling/Simulation, Robotics/Automated Systems, Sensors Integration, System Engineering, Testing, Aerospace, Sensors/Optics, Autonomous Systems, Data Analytics/Science, ISR & Tactical Systems, Threat Systems.
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Supervision of the cash, position and OTC reconciliation process, including trade capture, processing corporate actions and pricing are an integral part of the Fund Accounting Supervisor's role.
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processing machine learning jobs
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