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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine
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of translational neuroscience, clinical phenotyping, and advanced neuroimaging methodologies. Neuropsychological data will be integrated with multimodal imaging findings and basic science investigations to elucidate
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: Pathology Biomedical Data Science Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please email the required
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/artificial intelligence; (f) health policy, health economics, and decision science; (g) and implementation science Eligibility The ideal candidate will have an MD/DO, PhD, or ScD. PhDs/ScDs may be in clinical
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Data Science How to Submit Application Materials: Please email application to Dr. Zihuai He (zihuai@stanford.edu (link sends e-mail) ). Applications will be reviewed immediately after submission. Does
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. · Identifying roadblocks to hair cell regeneration by manipulating developmental signaling pathways and screening compounds that promote supporting cell reprogramming. Required Qualifications: · PhD
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, curating and analyzing a deeply-phenotyped dementia and healthy older control dataset. We have generated over 1200 long-read sequencing (LRS) genomes of diverse phenotypes and have additional multiomic data
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of abnormal entanglement from normal platform motion and sea states is difficult. Entanglement data can be noisy and notoriously difficult to process in remote, deep ocean environments. Moreover, continuous
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. Required Qualifications: PhD or MD/PhD, with expertise in immunology, molecular biology, cell biology, or bioinformatics. Demonstrated record of productive research and publications. Excellent written and
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will begin immediately thereafter and continue until the positions are filled. For more information, contact Amin Saberi or Itai Ashlagi. Required Qualifications: Candidates must hold a PhD in a relevant