Sort by
Refine Your Search
-
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
-
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
-
Departments and Centers: Pediatrics, Endocrinology and Metabolism Postdoc Appointment Term: One year with the opportunity to renew Appointment Start Date: 05/01/2026 Group or Departmental Website: https
-
spatial and temporal monitoring results in enormous volumes of data, necessitating the management of large datasets and communication of extensive (and expensive) data packets. These factors necessitate new
-
experience working with large, complex data from varied sources. The candidate should have proficiency with statistical software, ideally Stata, strong written and interpersonal communication skills, and a
-
on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
-
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
-
mutual agreement. Appointment Start Date: As soon as possible Group or Departmental Website: https://med.stanford.edu/solutions.html (link is external) How to Submit Application Materials: Please submit
-
or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject
-
continue until the position is filled. The position is available to begin immediately, with a preferred start date before April 1, 2026. How to Submit Application Materials: https://docs.google.com/forms/d/e