-
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
-
prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational
-
with IBD and build novel model-informed precision dosing applications. Located in the epicenter of Silicon Valley, the Colman Lab utilizes state-of-the-art AI-assisted tools and innovative machine
-
processing, statistical computation, methods development, data interpretation, literature review and manuscript/grant preparation. Additional Duties:• Supervision of undergraduates, graduate students and new
-
within Stanford's Division of Immunology and Rheumatology, providing access to state-of-the-art facilities, rich collaborative opportunities, valuable clinical resources, and a vibrant scientific community
-
the opportunity to mentor graduate and undergraduate trainees. The postdoc will also have access to outstanding infrastructure and resources, including dedicated, state-of-the-art mass spectrometers
-
Qualifications: Applicants must have completed their PhD no more than three years prior to the date of appointment to the fellowship. A Doctorate in Arts (DA), honorary doctorate, or any other degree equivalent is
-
refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high‑performance computing cluster offer an unmatched playground for ambitious science. Key Responsibilities • Design, execute, and analyse
-
(e.g., All of Us, UK Biobank, and Million Veteran Program), traditional cohorts (e.g., Women’s Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational
-
campus as arts and sciences. The fellow will lead the development and validation of imaging-based models to predict patient response to cancer treatment (80%) and will manage the unit’s AI/ML core