55 engineering-image-processing-"UCL"-"UCL" Postdoctoral positions at Stanford University
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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
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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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experience in prototyping, optical instrumentation, image processing, or translational device development are particularly encouraged to apply. Required Qualifications: PhD in Engineering, Physical Chemistry
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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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Engineering, Environmental Engineering, Materials Science, or a related field. Demonstrated expertise in process modeling, particularly in chemical or environmental systems. Experience with optimization
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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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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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the laboratory is to understand the pathophysiology of movement disorders such as Parkinson’s disease. At Stanford, innovations in neural interface technology have allowed us to discover how abnormal electrical
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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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surgical videos and clinical data Collecting and analyzing data to identify and address disparities in bariatric surgery Collaborating with a diverse team of clinicians, data scientists, and engineers