-
or fellowship applications. This position is ideal for a candidate interested in applying quantitative methods to clinically important problems and translating computational tools into improved patient care
-
health informatics and will have opportunities to develop independent research directions. Key Responsibilities Lead and contribute to research to design effective human-AI interaction in healthcare
-
of the transformation science and sustainability transitions literatures to help advance the intellectual core of the Transformation Science Program. About the Transformation Science Program The Transformation Science
-
care, oncology, neurology, global health, or related fields Experience designing and evaluating complex interventions Interest in global research partnerships and capacity building Experience engaging
-
Postdoctoral Fellowship represents a unique opportunity to advance surgical care through innovative applications of data science and artificial intelligence. This interdisciplinary fellowship is designed
-
, synthetic biology, genetic screening, and computational biology. Projects are designed to be tailored to the scholar’s interests, and additional details can be discussed following initial inquiry. About the
-
program. The lab investigates fundamental mechanisms of immune recognition and regulation in clinically relevant contexts, with a particular focus on transplantation immunology and viral immunity. Our work
-
. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
-
demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
-
of innovation in pain research, education, and patient care. Our postdoctoral program has successfully transitioned fellows into independent research careers; many have achieved their own NIH K/R grants and