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to function studies in the context of human genetics of complex traits and generating large data sets for collaborative science. The PI is committed to training and mentoring and will provide exceptional
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, publications and experience presenting data at national and international meetings Names and addresses of 3 academic references. One of these must be your main PhD supervisor. Stanford is an equal opportunity
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primary research areas: 1) statistical inference in high-dimensional and large-scale testing scenarios; 2) the development of novel model architectures for large-scale proteomics data; and 3) causal
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expertise in Neuropixels or other large-scale in vivo electrophysiology techniques. An expert neural data analyst may be considered even with minimal animal experience. Required Application Materials: Cover
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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the possibility of renewal. Appointment Start Date: The start date is flexible. We will review applications on a rolling basis. Group or Departmental Website: https://med.stanford.edu/pathology.html (link is
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how we decode cancer biology from spatial multi-omics data. This position offers an exceptional opportunity to build next-generation generative models for complex biological systems, working with large
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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or Departmental Website: https://earlychildhood.stanford.edu/ (link is external) How to Submit Application Materials: Please fill out the application form and submit materials at: https
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-doctoral program (https://postdocs.stanford.edu/ ). Required Qualifications: PhD, ScD, MD, DO, MD/PhD, or equivalent doctoral degree completed by appointment start date Degree in clinical field (nursing