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Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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ovarian cancer. The laboratory has about 15 members that use cutting-edge methods, including spatial proteomics, spatial metabolomics, spatial transcriptomics, 3D organotypic cultures of human tissue, in
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https://www.ubjobs.buffalo.edu/postings/59721 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position Summary
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culturing, with particular reference to 3D models, and molecular biology with the development of stably transfected clones. She/he will also have an opportunity to develop troubleshooting skills and critical
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
of classes, tutorial sessions, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area
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disorders such as Alzheimer’s disease. Our main research tools are whole brain mapping methods using high resolution 3D imaging and related computational analysis in rodents. More details of the lab can be
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rational strategies for next-generation therapeutics. The Lu Lab develops 2D/3D spatialtemporal omics, spatial pharmacology, and computational/AI approaches to map, model, and reprogram how cells
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depends on the background of a suitable candidate. The main topics of the group in the past few years were generative modeling, 3D reconstruction, image-editing, and deep learning using 3D data. More
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Abdominal Imaging Faculty Position - (230000P5) The University of Maryland School of Medicine seeks a radiologist for a faculty position in the Section of Abdominal Imaging at the University
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, machine learning) Advanced skills in 2D/3D/4D image parsing, segmentation, and building robust computer-aided detection systems Proficiency with modern deep learning frameworks (PyTorch, TensorFlow) and