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Field
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scientific discovery by developing cutting-edge computer vision (CV) models. You would have opportunities to work in an interdisciplinary environment and make a meaningful impact on scientific research
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opportunity to work on exciting projects that intersect computer vision, AI, and robotics. Engage closely with a diverse team of specialists and play a crucial role in tackling real-world challenges. Our
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The Center for Nanoscale Materials (CNM) (https://www.anl.gov/cnm ) at Argonne National Laboratory (near Chicago, USA) has an immediate postdoctoral opening on computer vision for materials imaging
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encouraged to apply. Previous experience working with optical imaging and computer vision is a strong plus. The successful candidate will be jointly based in the Department of Urology at the Stanford
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world-renowned, with dozens of faculty members spanning several departments. It includes research in all areas of vision science including psychophysics, computational and mathematical modeling and
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surgery. ·Developing algorithms for real-time control and path planning of surgical instruments. ·Integrating machine learning and computer vision techniques for autonomous surgery. ·Collaborating with
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the theoretical and practical application of highly specialized knowledge in the area of computer vision and the application of AI and machine learning to cutting edge problems. Tasks you will be responsible
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Analysis About the Mentor: Dr. Shao obtained his PhD degree in Electrical and Computer Engineering from the University of Iowa in 2019, under the supervision of Dr. Gary E. Christensen (IEEE Fellow, AIMBE
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, simulating real world settings and looking at fairness and generalizability. In particular, a background in computer vision and human-AI interaction is best suited for this role and project. Postdocs will have
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program, synthesizing approaches from psychology, artificial intelligence, natural language processing, computer vision, and human-computer interaction. In addition, the fellow will be encouraged