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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
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Collaborate with other ML/AI engineers and relevant partners to provide technical and strategic leadership for the design of software solutions that utilize state-of-the art artificial intelligence and machine learning techniques.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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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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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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The individual should hold a degree in electrical engineering or computer science, with a preference for experience in patent prosecution related to electrical engineering, software technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Working as part of an existing team, the successful candidate will have ample opportunity to contribute to enabling science at UChicago, to collaborate on software development, develop and deliver training, and other activities designed to advance research through scientific visualization, machine learning, and beyond.
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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Handling patent prosecution matters related to data science, AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Leading the consolidation and implementation of new concepts and processes in areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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machine learning software engineer image processing artificial intelligence jobs Company: Careerbuilder
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