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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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research on multimodal data from patients receiving engineered T cell immunotherapies. We have recently completed groundbreaking clinical studies of CD19/CD22-targeted and GD2-targeted CAR T cell therapies
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Materials: Please send your application package as a zipped file to kseetah@stanford.edu (link sends e-mail) , with the subject line: Application for 'Integrating Natural and Cultural Data' postdoc. Does
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help psychometrics become a more data-driven discipline. Our labs are combining in this project to propel discovery about development of children’s cognitive abilities in heterogeneous contexts
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, submit the required application materials, or find out more information, please contact Dr. Brian Kim (kimjb at stanford edu). The position will remain open until filled. Does this position pay above the
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epidemiology primary mentor. Opportunities for didactic training in epidemiology and research methodology. Access to patients and data from local and national leading studies. Clinical exposure through
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research design and/or data analysis exercise as part of the interview process. Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range
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information can be found here: http://profiles.stanford.edu/nathan-lo (link is external) . Review of applications will be performed on a rolling basis and continue until the position is filled. Does
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learners, both ambitious and team players, have a strong research publication record, and high-level understanding of programming and computer modeling. This postdoc position offers a motivated researcher an
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looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD researchers at Stanford’s Pain