68 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at Stanford University in United States
Sort by
Refine Your Search
-
given to candidates studying early China using analytical methods such as zooarchaeology, paleobotany, ceramic analysis, and lithic analysis. The successful candidate will be expected to: Teach one course
-
, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
-
that the postdoctoral fellow is able to establish some projects for subsequent publication or contribute to the creation of a new research program. The postdoctoral fellow will contribute to one or more of the projects
-
Digital Economy Lab Human-Centered Artificial Intelligence Computer Science Postdoc Appointment Term: 2 years Appointment Start Date: ASAP Group or Departmental Website: https://digitaleconomy.stanford.edu
-
strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
-
Description The Stanford Department of Applied Physics 2025-26 Karel Urbanek and the Marvin Chodorow Postdoctoral Fellowships is an annual program aimed at recruiting young scientists of exceptional ability
-
measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross-project comparison. Supporting this program—and this position—are NIH
-
employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
-
Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a
-
federally funded, interdisciplinary research program focused on improving healthcare delivery by studying and intervening in the human systems that support it. Based in the HEAL and Kim Labs at Stanford