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undergraduate student to support development and testing of AI and image-processing methods for engineering prototypes. The student will work with images, data, probability-based models, and machine
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Neuroscience, Bioengineering, Computational Biology, Biomedical Engineering, Computer Science or related field (preferred) Minimum 1 year of experience with neuron reconstruction and/or image processing
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processing capabilities and develop innovative solutions for challenges in various scientific, engineering, and medical applications. Report Compilation: Collaborate with team members to compile
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. Algorithm Development: Research, implement, and optimize image processing algorithms for both embedded and PC-based systems. Data Management: Analyze and evaluate modern data persistence concepts for
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organization, microscopy image management, and research productivity. The role assists faculty and Principal Investigators in organizing, curating, and preparing large-scale microscopy image datasets that
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connections in the brain. It is a generally programmable computing substrate, but greatly differs from classical architectures like CPUs or GPUs, allowing for more distributed processing and simulation
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can use arrow keys to pan the image around the crop area, and Page Up / Page Down to zoom in and out. Zoom Reset Save and crop Save my CV for future job applications and share with recruiters to
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pan the image around the crop area, and Page Up / Page Down to zoom in and out. Zoom Reset Save and crop Save my CV for future job applications and share with recruiters to headhunt me for new roles
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of computer science, photonics, physics, engineering or a similar study program. You have basic knowledge of working in laboratories, with scientific equipment, and in digital data processing. You are
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student assistants . We can discuss our ideas together to find the right job for you. What you contribute Strong understanding and practical experience with image processing methods or computer vision