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Experience: You have Ph. D. (or MS with 4+ years of post-MS experience) in one of the following areas: Remote Sensing, Image Processing, Computer Vision, Data Science. 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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We are looking for students who are self-motivated and interested in signal/image processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing.
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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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A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field. This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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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. Develop novel algorithms and signal processing techniques to solve complex problems at the intersection between beamforming, machine learning, acoustics and signal processing with applications in VR and AR.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. What are we looking for in candidates.
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Collaborate with our cross-functional R&D team to develop novel and exquisite, highly integrated EO/IR sensor systems, with your immediate emphasis on image processing algorithms, developing machine learning models and training deep neural networks for computer vision tasks, culminating with deployment of full AI/ML solutions.
$116,480 - $208,505 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working experience with common open source image processing libraries such as ITK, VTK, MONAI, 3D Slicer and high performance GPU clusters such as AWS, Databricks. As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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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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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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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. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Additionally, you will work with software developers, hardware developers and research scientists to enable an array of applications including AI, computer vision, healthcare, life sciences, autonomous vehicles, materials science, computational chemistry, quantum computing and related fields.
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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 todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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machine computer science image processing jobs Company: Clearancejobs in Anoka, Minnesota
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