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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging, machine
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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Department of Neurology, Biological Sciences Division Position Type: Other Academic Appointee Salary Range: $100,000 - $140,000 per year Chicago, IL Apr 6, 2026 – Apr 16, 2026 Description The University
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Segment Care image labels; shape active-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab
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We are seeking a Postdoctoral Research Associate to join the Structural Science Group within the X-ray Science Division (XSD) at the Advanced Photon Source (APS), Argonne National Laboratory
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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: C++, Python, Matlab, R. ● Building analytical pipelines that include image processing, image registration, auto-segmentation, feature extraction, pathomics, and radiomic analysis ● Proficiency
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and trajectories, with a total stored current of approximately 120 mA, will be recombined. Supervised by a researcher from the Accelerators and Ion Sources Division of LPSC, as well as by the researcher