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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and if possible, X-ray imaging. We expect the candidate's enthusiasm for interdisciplinary work related to Space
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-intelligence (AI) to improve radiation therapy treatment for patients with cardiac arrhythmias. In this project you will build new targeting technologies based on AI and x-ray imaging that solve the challenges
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq, Proteomics, Spatial Transcriptomics) and/or R
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enabling automated extraction of morphological features (e.g., porosity, tortuosity, connectivity) and fluid flow characteristics from X-ray and electron images integration of motion analysis and digital
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, screen optimization robots, plate imaging robots/hotel, walk-in plate incubator rooms, and rotating-anode home X-ray sources) within the Crystallography Core located in the Hockmeyer Hall of Structural
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such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving
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The Surface Scattering and Microdiffraction (SSM) group in the X-ray Science Division (XSD) at the Advanced Photon Source (APS), Argonne National Laboratory is seeking Two Postdoctoral Appointees
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, and electrochemical impedance spectroscopy. An understanding of bulk and thin film materials characterization techniques such as X-ray diffraction, X-ray photoelectron spectroscopy, spectroscopic