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learning, image processing, and electronic hardware verification. They will gain hands-on experience with CT imaging systems, PCB design analysis, and non-destructive testing methods. The project will also
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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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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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you will do (Level I): Operate computer software for production of 3D images and multiplanar reconstructions from CT and MRI datasets for optimal visualization of patient’s anatomic structures and
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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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for an Artificial Intelligence and Machine Learning (AI/ML) scientist to develop advanced computer vision workflows to support the identification of biomolecules in cryo-electron tomography (cryo-ET) image volumes
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision
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motions; intermittently standing or walking with objects weighing up to 25 pounds; and sitting at a computer workstation for extended periods of time; and occasionally working at heights above four feet and
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. Additional Information: Responsibilities: Positions and sets up imaging machines (e.g. x-ray, fluoroscopy) to acquire diagnostic-quality images according to exam specifications and safety protocols. Escorts