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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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and AI-driven computational approaches to reconstruct and redefine tissue architecture in 3D space. The goals of these projects are to uncover the rules governing the spatiotemporal dynamics of tumor
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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performance. Mentorship Structure The postdoc will collaborate closely with the lab’s principal investigator Ellen Vitercik, PhD students, postdocs, and external collaborators on multiple research projects
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of evidence-based tools that support students and teachers while, simultaneously, advancing the frontiers of knowledge through inclusive research at an unprecedented scale. ROAR empowers educators, families
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Posted on Sat, 11/09/2024 - 11:35 Important Info Faculty Sponsor (Last, First Name): Gardner, Christopher Other Mentor(s) if Applicable: Clarke, Shoa, MD, PhD; Follis, Shawna, PhD, MS; Henriksen
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success and publication history, with an MD, PhD or MD/PhD degrees, and very strong references. We are seeking a candidate with expertise in immunology. Previous experience in cancer research, molecular
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in a highly collaborative, inclusive and supportive environment including other scientists, physicians, residents, and students. This position is NIH-funded and the researcher will work closely with PI
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lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of reward-seeking
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated