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Field
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-learning tools to help detect, classify, and evaluate physical system states. What You Will Do ● Develop and test image-processing and computer-vision methods using Python. ● Work with camera images to
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the automation of image processing and data science workflows in a classified environment. This position will contribute to the development of scalable analytic pipelines, automated exploitation tools
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. Keywords Image processing; Machine learning, Computer vision; Statistical methods; Parallel and distributed computing; Software engineering; Standards; Eligibility citizenship Open to U.S. citizens level
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Signal Processing and Machine Learning algorithms. • Contribute to Image Processing and Machine Learning algorithms. • Contribute to the implementation of Automatic Speech Recognition framework
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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/Qualifications Applicants should hold a PhD in Computer Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image
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neural networks and physical models. Required skills: * Technical: - Image processing and computer vision skills: feature detection and matching, image registration and fusion, 3D reconstruction - Deep
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15 Aug 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 9 Sep
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in conducting independent research project in deep learning, computer vision, image processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep
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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of