121 software-verification-computer-science Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
Posted on Wed, 08/07/2024 - 14:53 Important Info Faculty Sponsor (Last, First Name): Boehm, Alexandria Stanford Departments and Centers: Civil and Environ Engineering Oceans Postdoc Appointment Term
-
the function of such metabolites, with implications for developing new therapeutics. We welcome applicants with a background in microbiology, immunology, chemical biology, pharmacology, or cell biology to
-
Posted on Wed, 07/24/2024 - 11:11 Important Info Faculty Sponsor (Last, First Name): Kopito, Ron Stanford Departments and Centers: Biology Postdoc Appointment Term: 1 year with option for renewal
-
Studies Required Qualifications: PhD, MD or MD,PhD in Immunology, Cell Biology or a related field Required Application Materials: Letter of interest CV including publications and names of references
-
Grant, Woods Institute for the Environment. Requirements for the post-doc are a Ph.D. in anthropology, archaeology, heritage studies, environmental science, or combination/experience thereof. Experience
-
is $73,800. Mineral-X (link is external) is offering a postdoctoral fellow position in computational geoscience within the Department of Earth & Planetary Sciences at Stanford University. The project
-
, radiation oncology, radiobiology, stem cell biology, Prepare and present research findings at scientific meetings and in peer-reviewed journals. Required Qualifications: Ph.D. in Bioinformatics, Computational
-
of submersible, humanoid, robotics. Requirements for the post-doc are a Ph.D. in reef ecology, underwater maritime archaeology, marine science, or combination/experience thereof, as well as dive
-
macroeconomics and finance and a clear interest in contributing to GCAP Lab research. The position requires someone with a strong background in the field, i.e. a PhD in Economics or Finance with a primary focus on
-
social science, data science, public health/health policy, demography, or statistics. The applicant should have a range of statistical and data skills, including graduate-level knowledge of data management