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University. The ideal candidate will have a strong background in engineering—biomedical, electrical, or mechanical—with expertise in optics, imaging systems, or device development. Our research focuses
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workflows (e.g., Kilosort, SpikeInterface) and neural data quality control Experience with imaging data processing, anatomical or functional registration, and 3D planning/reconstruction for recording
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preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will successfully carry out experiments and analyze the data
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, genetics, and neurodevelopment, along with access to state-of-the-art imaging technology and advanced computational resources. The fellow will have structured opportunities for professional development