Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
-
multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
-
include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover, the close connection with the clinical environment
Enter an email to receive alerts for coding-"Multiple"-"Humboldt-Stiftung-Foundation" positions