96 phd-position-in-image-processing-"Computer-Vision-Center" Postdoctoral positions at Stanford University
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of Wendy Liu, MD, PhD in the Department of Ophthalmology at Stanford University to conduct collaborative projects in vision research. Position Description: Our laboratory is interested in studying the role
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multimodal MRI data from children with NF1 using the Siemens Cima X scanner at Stanford’s Lucas Center for Imaging. The position sits at the intersection of advanced neuroimaging methods, longitudinal clinical
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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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position is available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics
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Centers: Otolaryngology, Head & Neck Surgery Appointment Start Date: Applications will be reviewed on a rolling basis until the positions are filled. The start date is flexible. Group or Departmental
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biology, cancer biology, and/or molecular biology preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will
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Fellowship Application" Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical
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Centers: Otolaryngology, Head & Neck Surgery Appointment Start Date: Applications will be reviewed on a rolling basis until the positions are filled. The start date is flexible. Group or Departmental
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PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and