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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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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
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science AI initiatives. What You’ll Do Develop software and AI-driven tools for image capture, volumetric data processing, and visualization Design and implement applications for photogrammetry, multi
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Military University of Technology - Wojskowa Akademia Techniczna | Warsaw, Indiana | United States | about 2 months ago
interdisciplinary research and teaching team in the field of image information engineering. The team’s work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the
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intelligence, image understanding, or related areas Proficiency in Python programming; solid understanding of computer science fundamentals Experience with version control (GitHub) and AI coding assistants (e.g
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Image Processing and Analysis Group. This is an ideal position for someone with software/statistics background who is looking for some experience before applying to graduate school or to medical school
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26 Sep 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Other Medical sciences » Other Researcher Profile First Stage Researcher (R1
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and research excellence. For more information, please visit https://www.tamiu.edu/. This is a tenure-track, nine-month Assistant Professor of Computer Science position. A reduced teaching load
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: Develop, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply
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requests from funding agencies. Job Requirements: Master’s degree in Remote Sensing, Agricultural/Electronic/or Biosystems Engineering, Plant/or Computer Science, Agronomy or relevant fields from a