103 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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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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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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. 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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research projects and over 180 principal investigators pursuing laboratory, clinical, and health services research. The wet lab environment includes several core facilities such as confocal microscopy and
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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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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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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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and/or vision science Experience with Javascript, development of web apps and database architecture is a plus but not required Desire to work in a fast paced, collaborative team-science environment