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%): A.1. knowledge and demonstrated experience developing 3D-projects (35%); A.2. Experience with capture of image and áudio, vídeo edition (Adobe Premiere or software equivalente, Adobe Audition
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intussusception reductions. The section supports a 3D and virtual reality (VR) imaging lab, a tumor metrics (response evaluation) lab, and receives assistance from three physicists who provide expertise across all
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University of California, San Francisco | San Francisco, California | United States | 41 minutes ago
:30pm. Sr. Mammography Technologist: A CRT licensed Mammography Technologist performing screening and diagnostic breast imaging and procedures. This technologist must be able to produce ACR quality images
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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Computer Applications: Version control (e.g., Git); data management tools; basic image processing/segmentation tools as used in the lab, R studio; 3D visualization/modeling software as applicable Preferred
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(LKCMedicine) is a collaborative, forwarding-thinking, and innovative cell biology research laboratory. The lab aims to conduct impactful and creative cancer and stem cell research by leveraging 3D cell models
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | about 2 months ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079
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MiChart. Email 3D lab for images when requested by radiologist. Page/call/communicate with providers as requested by radiologists. Contact external hospitals and facilities to obtain imaging for emergency
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-content imaging, and computational modelling, we will systematically compare how 320 small molecules reshape metabolism in both 2D and 3D environments. The resulting dataset will reveal which drug-induced