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Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks either a USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
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PhD in the field of Computer Graphics, Computer Science, Mathematics or Machine Learning with a proven academic or equivalent industrial track-record. The position requires a combination of education and experience in computer vision, computer graphics, robotics and machine learning.
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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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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.
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Stay current with the latest advancements in image processing, computer vision, and machine learning technologies, and apply cutting-edge techniques to solve challenges in NGS.
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Patent Prosecution Attorney or Agent – Artificial Intelligence/Machine Learning + Cloud Computing. Patent Prosecution Attorney or Agent – Artificial Intelligence/Machine Learning + Cloud Computing February 15, 2023.
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Code, working with hardware and software, ability to grasp high order concepts in physics, microscopy, hardware design, automation, and robotics, experience with computer vision and machine learning, experience with image processing, experience working with an agile team, experience in SQL.
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Candidates must have strong capabilities in relevant research methods, which could include social network analysis, statistical analysis and open-ended data mining; applied machine learning including Natural Language Processing and image recognition; interactive data visualization; and website development.
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We're addressing a variety of technical challenges in the areas of real-time image processing, SLAM, 3D scene reconstruction, machine perception, visualization and toolings.
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MS or Ph. D. degree in biomedical engineering, physics, computational sciences, or a closely related field with emphasis on medical image processing. Apply classical and machine learning methods to derive insights from integrating and analyzing clinical response, tumor transcriptomic/genetic data, and radiographic image features.
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Expertise is required in the specific area of application of artificial intelligence and machine learning in digital pathology and/or image processing and analysis, and ideally will also have either clinical training or research experience in Pathology.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. We are looking for talented and innovation-driven scientists who are passionate about leveraging the latest advances in Computer Vision (CV), Graphics, AR/VR, Virtual Try-On, Generative AI, Diffusion Models, Image Processing, and related technologies, to solve customer problems in the Beauty space.
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Preferred Qualifications: PhD in Biomedical Engineering/Computer Science with Signal/Image processing or Algorithm/Method Development background Experience with Impedance Tomography and/or navigation algorithms Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner Familiarity with lab equipment (signal generator, oscilloscope, LabView, etc.
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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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machine learning computer science image processing a jobs in Anoka, Minnesota
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