Postdoctoral Fellow Position in AI for Psychiatry: LLMs and Multimodal Foundation Models
The Stanford Translational AI (STAI) in Medicine and Mental Health Lab (PI: Dr. Ehsan Adeli, https://stanford.edu/~eadeli) invites applications for a Postdoctoral Fellow to join our team. This position offers an exciting opportunity to work at the intersection of AI and mental health, utilizing advanced large language models (LLMs) and multimodal foundation models to address critical challenges in psychiatry.
Postdoctoral Research Fellow: 3D Human Understanding, Motion Foundation Models, and Video Understanding
We are looking for an exceptionally talented Postdoctoral Research Fellow to join our interdisciplinary team at the forefront of machine learning, computer vision, 3D human understanding, motion prediction, and video understanding. This position is hosted by the Stanford Translational AI (STAI) Lab in collaboration with the Stanford Vision and Learning (SVL) Lab within the Computer Science Department. These dynamic research groups are renowned for their groundbreaking contributions to artificial intelligence, computer vision, and deep learning, particularly in human motion and video understanding.
Postdoc Application: Medical Imaging, Biomedical Data Analysis, Machine Learning Foundation Models
We are seeking an exceptionally talented Postdoctoral Research Fellow to join our interdisciplinary team at the forefront of machine learning, computer vision, medical image analysis, neuroimaging, and neuroscience. This position is hosted by the Stanford Translational AI (STAI) in Medicine and Mental Health Lab (PI: Dr. Ehsan Adeli, https://stanford.edu/~eadeli), as part of the Department of Psychiatry and Behavioral Sciences at Stanford University. The postdoc will have the opportunity to directly collaborate with researchers and PIs within the Computational Neuroscience Lab (CNS Lab) in the School of Medicine and the Stanford Vision and Learning (SVL) lab in the Computer Science Department. These dynamic research groups are renowned for groundbreaking contributions to artificial intelligence and medical sciences.Â