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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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Additive Technologies) team at University of Warwick seeks a creative and motivated research fellow in the area of deep learning for (X-ray) image processing. The appointment is currently until 31 March 2027
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international scientific conferences. Also expected to prepare posters/talks and represent the lab at local and international scientific conferences. Perform sample processing, staining, imaging and analysis
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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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: The Magnetic Resonance Imaging (MRI) Technology Developer will play a pivotal role in shaping and supporting the MRI research platform and program at the McConnell Brain Imaging Centre (BIC). This includes
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of AI-based computer vision methods on optical and radiologic images. Our laboratory focuses on (1) intraoperative imaging with label-free optical microscopy and (2) neuro-imaging such as computed
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award, highlighting its commitment to promoting women in Science, Engineering and Technology. Fluid mechanics, microfluidics, porous media, non-Newtonian fluids, image processing
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data science tools. Experience with image analysis, computer programming (Python and R), and machine learning frameworks (TensorFlow, PyTorch). Familiarity with spatial omics, bioimaging data processing
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#CA-DK #48XClinsupport The Mammography Technologist is responsible for performing screening as well ensuring quality control (QC) in the imaging process. They work closely with radiologists and