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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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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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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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Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR). Minimum 5 years of experience in a similar role, with a focus on machine learning, image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
$150,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with fundamentals of digital signal & image processing , computer graphics, computer vision, machine learning or computational photography. Manage image data collection labs and work closely with the machine learning engineers to generate and organize new datasets.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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You must be knowledgeable in traditional computer vision and image processing techniques. You must be proficient in Python image processing (e.g., Pillow, OpenCV, scikit-image, and ITK.
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If you find image processing is not just about coding, if you are comfortable with using convenient software (e.g., Photoshop, GIMP, ImageJ, etc.) You will explore image processing pipelines for 3D Gaussian Splatting.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into today's most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You should not apply for this position if you are not familiar with image processing. The role involves developing and implementing image processing pipelines for multiview, multiscale image data.
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B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
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Knowledge of AI image processing is desired. This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work. Finally, we will build our data processing infrastructure on the could, so your experience with cloud services (e.g., AWS, Azure, etc.
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At a minimum, you should be able to implement and optimize deep learning algorithms developed by others. At OpsiClear, we revolutionize clinical image visualization. You may be assigned to extra startup operational jobs, but we will keep things balanced across the team.
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You will be one of the first members of our team, which means you will help shape our culture and build our foundation. Working in a very small team also means you may feel a little bit lonely, lost, and unsupported.
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Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 6+ years of professional experience in data science/machine learning.
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machine learning computer science image processing jobs Title: team lead in Anoka, Minnesota
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