99 phd-in-architecture-and-built-environment Postdoctoral positions at Stanford University
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for early detection of multiple cancers Assessing built environment's impact using health technology Environmental and neighborhood influences on health (physical, social, cultural environments) Health
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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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Posted on Tue, 02/18/2025 - 15:23 Important Info Deprecated / Faculty Sponsor (Last, First Name): Lepech, Michael Stanford Departments and Centers: Civil and Environ Engineering Postdoc Appointment
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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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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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value innovation, and our program provides an enabling environment for fellows to conceptualize, develop, and lead independent research initiatives. The postdoctoral fellowship is anchored at Stanford
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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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integrated into real-world consumer environments, it is essential to ensure these systems act in the best interests of users—faithfully interpreting user intent and taking responsible actions on their behalf
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Department of Dermatology provides a robust research environment with a strong community of scientific colleagues and students for collaboration. Required Qualifications: A PhD in one of the following
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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