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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. Experience with image processing, multiview systems, camera calibration, pose estimation, non-rigid ICP, non-linear optimization, neural networks training and deployment, PyTorch, distributed and cloud computing.
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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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Demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected in the lab and in the wild.
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Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience.
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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. Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus.
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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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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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The lab is seeking a Science and Engineering Associate 2 to perform advanced computational engineering tasks in support of the VMR with the goal of expanding the database and making it compatible with research tasks in machine learning (ML) and artificial intelligence (AI.
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Completed coursework in the theory and applications of astrodynamics, remote sensing, spacecraft design, aerospace systems operations, computational fluid dynamics, machine learning, or complex systems integration is desired.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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BSc/MSc graduate in the field of engineering, computer science, applied mathematics, physics, statistics, or relevant field of study. Develop and implement novel AI machine learning algorithms in the area of Large Language Models (LLMs) and/or Computer Vision models to provide automation of clinical tasks using one or more of data domains (e.g. medical images, electronic medical records, clinical reports, etc.
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Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation.
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Master's or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
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At least 5-10 years’ directly related experience in computer applications, large scale computing frameworks, data analysis systems, machine learning techniques, data engineering, and pipeline design for clients for real world problems.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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machine learning computer science image processing engineering systems jobs Company: Dolby Laboratories Inc in Anoka, Minnesota
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