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learning, Transformer. Signal and image processing. Computer vision. Professional Experience: In digital pathology image analysis for cancer. Experience in functions similar to those described will be valued
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
Qualifications Required: Basic computer programing knowledge and mathematical background Demonstrated skill in problem solving, prioritizing assignments to complete work in a timely and efficient manner Strong
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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informatics. The successful candidate will join a highly interdisciplinary team of informaticians, engineers, and imaging scientists to advance quantitative imaging and informatics applications in cancer
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: B.Sc. in Science Familiar with microscopes, digital imaging and image processing and analysis. Previous students from PHGH 560 would be ideal. Ability to assess written work and clearly express written
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) o Computed Tomography (CT) o Magnetic Resonance Imaging (MRI) o Nuclear Medicine (NM) CORE JOB FUNCTIONS Produces diagnostic imaging studies in two (2) specialized
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time or image processing, answer student e mails and questions, prepare labs, correct lab reports, help organize and invigilate mid-term exam and final exams. Qualifications: Priority will be given
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for children and young adults. You are a creative and enthusiastic researcher with an MSc degree in Physics, Engineering or Biomedical Engineering, or similar. You have a clear interest in developing imaging
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-researcher whose work and teaching engage the relationship between text & image, broadly understood. The postholder will contribute 0.4 FTE to the MA Photography programme and 0.4 FTE to the MFA Arts