11 electronic-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" PhD positions at Stanford University
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is a partner in the Center for Decoding the Universe @ Stanford and provides opportunities to participate in cross-disciplinary activities in AI/ML and data science with the Stanford Institute for
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Jobs Online. Application deadline: November 2, 2026. Additional Stanford postdoctoral opportunities in physical sciences: Stanford Science Fellows (SSF): https://stanfordsciencefellows.stanford.edu
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and undergraduate levels. The term of appointment is expected to begin on 1 September 2027. Candidates should apply through Stanford Faculty Positions ( https://facultypositions.stanford.edu/jobs
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applicants to follow the structure of the AAS advice on the content of CVs and research statements given here: https://jobregister.aas.org/postdoc-application-guidelines The deadline for applications
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the Department of Geophysics ( https://geophysics.stanford.edu/ ) in the Stanford Doerr School of Sustainability. We welcome applications from any field of geophysics, broadly defined. The Department of
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Via partner institutions: Carnegie Observatories (Pasadena, CA), Harvard-Smithsonian Center for Astrophysics (Cambridge, MA), Stanford University (Palo Alto, CA), or Yale University (New Haven, CT). The
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statement of research interests, a publication list and the names of three senior physicists who will provide letters of recommendation. SLAC is an affirmative action, equal opportunity employer. We should receive your application before November 15, 2026 . ...
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overall team effectiveness; incorporates insights to improve team operations. Purpose & Vision (drives vision & purpose): Articulates a clear vision of expected outcomes; inspires others to execute work
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Position Description The Stanford Doerr School of Sustainability invites applications for a tenure-track Assistant Professor position in the Department of Earth System Science ( https
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systems; human–AI interaction and human–computer teaming; AI-enabled biosensors for continuous health monitoring; world models, simulations, and digital twins; lab-in-the-loop approaches that connect