-
modeling, ligand docking and drug design to develop the next generation of safer anesthetics. Specifically, this individual will initially be an integral developer of a large series of homology models
-
disseminating research findings. Key areas of responsibility include helping PhD candidates and medical students plan experiments, creating mouse models for genetic disorders; maintaining and studying mouse and
-
Immunology, Stanford Engineering, and international collaborators in Bioinformatics and Bioassay design. Opportunities for didactic training in cancer research, immunology, clinical methodology, and
-
tutoring to better understand teaching and learning. The postdoctoral fellow will contribute to this work through the design and implementation of randomized controlled trials, the analysis of administrative
-
and of design strategies for developing AI systems which respect children’s values and best interests while promoting their agency in interactions with algorithmic decision-making. These interactions
-
for care management Clinic-level resource allocation Design of clinician-facing dashboards and patient-facing messaging to support care Our unique collaboration between engineers, statisticians, computer
-
the context of rheumatic diseases. Collaborate with researchers and clinicians to design and leverage medical imaging datasets for deep learning applications with the goal of understanding the epidemiology
-
longitudinal research methodology and lifespan development – particularly in how longitudinal study designs contribute to our understanding of human development and the psychological changes processes. The lab
-
of Education and Institute for Human-centered Artificial Intelligence to develop and provide free curricular materials about AI to high school teachers. The repository hosts materials that are co-designed with
-
their impact on physiology, we aim to better understand GPCR signaling and to provide a solid foundation for the design and testing of novel therapeutics targeting GPCRs with higher specificity and