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. We expect to be able to make offers to successful candidates by mid-December. Appointments are expected to begin during the period June – December, 2026. For administrative questions please contact
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods
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ligands suitable for theranostic application. Required Qualifications: PhD in organic chemistry or related field Required Application Materials: CV Brief statement of research experience/interests Stanford
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clinicians at Stanford University as well as other institutions. Required Qualifications: Candidates must have a PhD or MD/PhD with expertise in immunology, cell, molecular, or developmental biology, and past
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external) Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation
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findings to both scientific and non-scientific audiences. Contribute to writing research papers and grant proposals. Train and mentor students and research assistants as needed. Required Qualifications: PhD
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research and travel. Applicants should normally have received their PhD in the last 3 years and must have their degree in hand prior to taking up the position on 1 September 2025. The appointment will be
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at conferences and publish results in peer-reviewed journals. Support mentorship of junior researchers and/or students. Required Qualifications: PhD in Computational Organic Chemistry or Computational Materials
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based on Stanford University guidelines , and full benefits. Required Qualifications: Recently completed PhD, DrPH, MD, or other doctoral degree in a discipline related to nutrition, food systems
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for ambitious science. Position type: Full‑time; open to candidates from recent PhD graduates to established senior researchers. Required Qualifications: • Design, execute, and analyse high‑density