59 algorithm-phd-"Prof"-"Prof" Postdoctoral positions at Stanford University in United States
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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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faculty, PhD students and researchers. The ideal candidate will have earned a Ph.D. in applied science and engineering discipline, with demonstrated expertise in a complementary area (e.g., a Ph.D. in
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. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will involve both method
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of infectious diseases research and provides a strong community of scientific colleagues and students. Required Qualifications: The ideal candidate will have a PhD in Epidemiology, Engineering, Data Science
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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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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
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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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care providers in identifying and managing patients with referral-warranted oculoplastic disease. Required Qualifications: - MD or PhD with experience in cell culture, data gathering, data analysis
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domestically and internationally. Required Qualifications: PhD in a relevant field. Required Application Materials: CV Statement of research Diversity statement Three letters of recommendation Stanford is an