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into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking
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large datasets. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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disease progression. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will
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models of tuberculosis (TB). The lab couples Mycobacterium marinum, a close genetic relative of M. tuberculosis which causes TB-like disease in fish, with transparent and genetically tractable fish species
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Posted on Wed, 01/21/2026 - 18:24 Important Info Faculty Sponsor First name: Anna Faculty Sponsor Last Name: Gloyn Other Mentor(s) if Applicable: Polly Fordyce (Genetics & Bioengineering) Stanford
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institutions, including Arc Institute (https://arcinstitute.org/ (link is external) ). Required Qualifications: A Ph.D. in Bioengineering, Systems Biology, Molecular Biology, Genetics, or a related field
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strongly encouraged to apply. Lab overview: The Hinshaw Lab uses cryo-electron microscopy, chemical biology, and genetics to study and manipulate the protein assemblies that govern chromosome segregation
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Centers: Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediate Group or Departmental Website: https://med.stanford.edu/rabinovitchbland (link is
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multidisciplinary team studying the genomics of neurodegenerative diseases, with a special focus on Alzheimer’s Disease (AD). Current research focuses on using novel methods to detect genetic associations with
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project characterizing anti-cancer drug activity. Cancer cells require the expression of certain genes, called "addictions" or "genetic dependencies", that encode proteins necessary for tumor growth