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. The Huttenhain lab is committed to foster a respectful, and collaborative environment with passion for science and mentorship. Trainees will have access to an outstanding infrastructure and resources including
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their own research program, under supervision of the principal investigator, as well as work across the many outstanding resources, institutes (e.g. Institute for Human-Centered AI) , and faculty labs across
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exceptionally creative and collaborative academic environment, fellows will have access to world-class resources and expertise spanning the Department of Surgery, the Stanford Center for Biomedical Informatics
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preparation (K-series or equivalent) Job market preparation and career planning Research Resources: Access to Stanford's exceptional research infrastructure including large clinical datasets, electronic health
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well as their intersection with AI systems for generative biology. This position offers a unique opportunity to bridge powerful experimental methodologies with increasingly advanced generative models within a well-resourced
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models within a well-resourced scientific environment. We strive for a lab culture that does scientific research at the highest levels while also encouraging creativity, collaboration, and the joy of doing
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group has strong collaborations with other groups at Stanford and beyond. See our website for more information on current group members, alumni, research interests, publications, and other resources
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: Advanced degree (PhD) in Forestry, Environmental Science, Resource Management, Engineering, Business Administration, or related field. 2-5 years of applied work experience in forest management or forest
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Accelerator Laboratory, a U.S. Department of Energy national laboratory. As a joint institute of Stanford and SLAC, SIMES brings a combination of intellectual resources and first-class experimental facilities
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whole-body cancer detection. We are interested in both technical development and clinical translation pipelines, leveraging resources at the Lucas Center for Imaging, synergies across the clinical MRI