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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics. Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics is required.
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Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases. A Bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field.
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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Bachelor's degree or equivalent required, preferred college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and two or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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As a Quantum Computing Research Scientist - Executive Director within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the field of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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Committees may include topics such as AI/machine learning, ethics, natural language processing, data definitions, data governance, genomic/pathology/radiology and other specialized clinical data systems, Epic, internal and external data reuse, learning health systems and translational science.
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Performing and leading developments using machine learning techniques in one or more of the key areas like information retrieval and ranking, natural language processing, computer vision, entity recognition, and product classification.
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You'll be supported by some of the most sophisticated technology in the profession, including proprietary computer systems and software, advanced photography, reality capture, and image processing, artificial intelligence, digital asset management, and state-of-the-art, non-destructive diagnostic equipment and techniques.
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Key Responsibilities: Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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Strong technical foundation in signal processing, statistics, machine learning, and computer vision. Hands-on experience with state-of-the-art non-NN methods in image processing and their speedup on mobile devices, such as Metal for iOS, OpenGL or Vulkan for Android.
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Mail Processor – Performs a variety of functions to accomplish the processing of mail. Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers.
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We are growing our capabilities using artificial intelligence, natural language processing and machine learning. Providing input into initiatives to continuously improve straight through processing (STP) rates, including the use of robotics, workflow and other innovative re-engineering techniques.
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At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. Writing software that supports data ETL pipelines covering all types of inputs, from market data to image and text processing.
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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The postdoctoral scientist will lead an exciting project that combines cutting-edge statistical methods, machine learning, biophysical modeling and our understanding of cancer, with an opportunity to test and validate their findings in the wet lab in collaborations with the rest of team and labs at NYGC. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment.
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machine learning computer science image processing jobs Company: Clearancejobs in Brooklyn, NY
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