79 phd-in-concrete-and-structural-engineering Postdoctoral positions at Stanford University
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conjunction with the Basic Science and Engineering (BASE) Initiative of the Children's Heart Center at Stanford University and the Department of Genetics to work on understanding mechanisms of pulmonary
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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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an ambitious and motivated postdoctoral scholar to join an exciting project focused on a unique alignment of visual, acoustic, and structural data for a radical new assessment of anthropogenic impact on our
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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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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
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research expenses. Please direct queries to Professor Lisa Surwillo (surwillo@stanford.edu (link sends e-mail) ). Required Qualifications: Applicants must have received a PhD from an accredited university in
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a PhD in the field of molecular and cellular cancer biology, relevant publications, curiosity for science and innovative thinking, and high fluency in English. Experience with mammalian cell culture
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(PhD, MD, or equivalent) conferred by the start date. Proven research and/or professional experience in machine learning and/or natural language processing, with a preference for prior experience working