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collaboration with the Materials Design Division (also at IFM) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in
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(formerly the Australian Technology Park). Your key responsibilities will be to: Undertake original research in developing methods of cone beam computed tomography interventional imaging undertake
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 5 days ago
17 Sep 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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robotic pick and place with other researchers and engineers. Prepare reports and scientific papers. Job Requirements: Master’s in Computer Engineering, Computer Science, Electronics Engineering or
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at NSLS-II seeks a postdoctoral researcher with a strong background in computational imaging, data science, or scientific computing. This position will focus on developing advanced image reconstruction
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microscopía relacionada con enfermedades globales y manejo de QuPath, ImageJ, R, Python, Pytorch, Tensorflow. Specific Requirements Microscopiy Image processing background Knowledge in métodos estadísticos
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Master’s degree in computer engineering, Computer Science, Electronics Engineering or
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/Qualifications Who you are You have a Professional Master’s degree or PhD in electrical/software engineering or equivalent through experience. You have 3-5 years of experience in computer vision and image
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laboratory and/or technical equipment - Ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related
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) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in machine learning, deep learning, and visual perception