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Field
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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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or Biomedical Engineering or a closely related field. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in medical imaging, breast x-ray imaging, image
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or Biomedical Engineering or a closely related field. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in medical imaging, breast x-ray imaging, image
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment
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Application Materials: Please submit the following materials to bridgelab@stanford.edu (link sends e-mail) with the subject line "Imaging Postdoc Application" Applications are reviewed on a rolling basis. Does
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of Wendy Liu, MD, PhD in the Department of Ophthalmology at Stanford University to conduct collaborative projects in vision research. Position Description: Our laboratory is interested in studying the role
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based
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outputs, including: A return-of-data blueprint Prototype participant reports An evaluated framework for future implementation Your Profile Master's degree and PhD in computational biology, bioinformatics
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The laboratories of Dr. Sattar Khoshkhoo in the Department of Neurology at Brigham and Women’s Hospital and Harvard Medical School and Dr. Jordan Farrell in the Department of Neurology at Boston