112 phd-in-architecture-interior-design-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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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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art of mentoring and supervising burgeoning scholars. We value innovation, and our program provides an enabling environment for fellows to conceptualize, develop, and lead independent research
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the development of natural and built urban systems and human-system collaborations. Successful candidates will be expected to define an independent research agenda and to work closely with Stanford University
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work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen
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. Optional: mentor junior trainees and contribute to grant writing activities. Training and Environment The postdoctoral fellow will work under the mentorship of Dr. Titilola Falasinnu, Assistant Professor in
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become increasingly 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
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