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. Required Qualifications: A doctoral degree (PhD, MD, or equivalent) conferred by the start date. Proficiency in R/Python Experience with scRNAseq, and/or spatial proteomic/transcriptomic data analysis Growth
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Posted on Tue, 02/25/2025 - 17:04 Important Info Deprecated / Faculty Sponsor (Last, First Name): Alsentzer, Emily Stanford Departments and Centers: Biomedical Data Sciences Postdoc Appointment Term
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. The position is fully funded. Required Qualifications: The successful candidate should be highly motivated and hard working, with outstanding past research success and publication history, with an MD, PhD or MD
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radiolabeling of the resulting constructs. The fellow will conduct interdisciplinary research to develop unique translational therapeutics or methods to quantify the imaging data. Our federally-funded team is
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) seeks a postdoctoral researcher in the application of Data and Knowledge Science to smart and sustainable civil and industrial infrastructures and cyber-physical systems. Areas of particular interest
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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
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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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Website: https://hph.stanford.edu (link is external) How to Submit Application Materials: Submit all application materials to mueller7@stanford.edu by October 1, 2025. Please write ‘Project Unleaded Data
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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