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PhD or equivalent experience in Applied Mathematics, Audio Engineering and Signal Processing, Acoustics, Electrical Engineering, Computer Science, or a related field.
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Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines, data science and AI ecosystem.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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Qualifications Bachelor’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field, or the equivalent combination of education and related experience.
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONS- Ph. D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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The Cal Poly College of Engineering strongly values diversity, equity, and inclusion (DEI), as part of our focus on equitable student success. The college is searching for positions in the following disciplines:· Aerospace Engineering· Civil Engineering· Computer Engineering· Computer Science / Software Engineering· Electrical Engineering· Environmental Engineering· Industrial and Manufacturing Engineering· Mechanical EngineeringIn addition to the standard new faculty support, candidates with DEI focused scholarship and/or pedagogy may be awarded additional start-up funds to support their DEI work.
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Perform data preprocessing, feature engineering, and model training/validation using state-of-the-art machine learning frameworks and libraries. LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning.
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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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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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These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking.
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The Machine Learning Department within the School of Computer Science is seeking a Postdoctoral Research Associate as part of the Simons Collaboration on Learning the Universe.
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Ideal candidates have a background in machine learning and computer vision, as well as strong software engineering skills. Work with the perception team to design, develop, and deploy computer vision and machine learning components for robotics on integrated hardware (like Nvidia Jetson and Intel Myriad.
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Requirements: Must have a Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2 years of experience as a Software Engineering Intern, Application Engineer Intern, or related.
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Minimum of 5 years experience as a Technical Program Manager, Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
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machine learning computer science systems equity and inclusion jobs Title: engineering in Anoka, Minnesota
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