Location: Bethesda, USA. 1 directory reference tagged research fellowship with subject tags: ai and imaging informatics, body and abdominal imaging, oncologic imaging. Tags describe the inventory; confirm each programme with the host.
NIH RADIS multimodal-AI postdoctoral fellowship: Email a CV, research-interest statement and three reference letters to the lab chief.Official evidence · checked 2026-10-29 · Postdoctoral announcement
Curriculum and rotations
NIH RADIS multimodal-AI postdoctoral fellowship: Multimodal precision-medicine AI combining images, reports and clinical data; segmentation, biomarkers, disease classification and outcome modelling.Official evidence · checked 2026-10-29 · Postdoctoral announcement
Additional recorded requirements and training details
International applicants
NIH RADIS multimodal-AI postdoctoral fellowship: US and non-US citizens and US permanent residents considered; this does not establish visa sponsorship.Official evidence · checked 2026-10-29 · Postdoctoral announcement
Named-track details below apply only to NIH RADIS multimodal-AI postdoctoral fellowship. Other programmes and institution-wide policies retain their own scope; this page does not establish shared admissions terms or an open vacancy. NIH staff portraits and appointments are listed as institutional roles. They do not confirm supervision of the named postdoctoral fellowship. Official NIH profiles separately use acting chief and section chief for two nuclear medicine clinicians; the labels are attributed to the respective profiles.
Recorded faculty and contacts
Programme directors, institutional faculty and administrative contacts are distinguished by their recorded roles. A departmental appointment does not establish supervision of every fellowship.
This page groups 1 directory reference and 1 recorded source URL. Directory tags describe the inventory; they do not confirm that the host currently offers every tagged pathway or specialty.
NIH Clinical Center - Radiology and Imaging Sciences
Directory pathway tags
Research fellowship
Directory subject tags
Oncologic Imaging, Body and Abdominal Imaging, AI and Imaging Informatics
Evidence recorded
Multiple programme pathways; 6 individually sourced fields; 25 named roles. Specific facts or roles checked 2026-11-07.
Source access
Automated source request failed; the site may still open in your browser. Access checked 2026-10-30.
Named-track details below apply only to NIH RADIS multimodal-AI postdoctoral fellowship. Other programmes and institution-wide policies retain their own scope; this page does not establish shared admissions terms or an open vacancy. NIH staff portraits and appointments are listed as institutional roles. They do not confirm supervision of the named postdoctoral fellowship. Official NIH profiles separately use acting chief and section chief for two nuclear medicine clinicians; the labels are attributed to the respective profiles.
NIH RADIS multimodal-AI postdoctoral fellowship: Multimodal precision-medicine AI combining images, reports and clinical data; segmentation, biomarkers, disease classification and outcome modelling.
Compare duration, costs and eligibility
Duration
NIH RADIS multimodal-AI postdoctoral fellowship: Typically 2–3 years; longer appointments may be possible. Source · 2026-10-29
NIH RADIS multimodal-AI postdoctoral fellowship: US and non-US citizens and US permanent residents considered; this does not establish visa sponsorship. Source · 2026-10-29
Published intake
Not yet verified
Published deadline
Not yet verified
Unknown means not yet verified here, not absent from the official source. Dates describe published evidence, not a current vacancy.
Recorded source host: cc.nih.gov. Before relying on this host, open the source and confirm the programme name, intake year and contact route.
Research fellowship: Look for the named supervisor or laboratory, whether the post is a salaried postdoctoral role or a self-funded visit, and what the host says about data ownership and authorship.
Related hosts and next steps
Other hosts in USA that share a subject tag with this host:
UC IrvineAI and Imaging Informatics, Body and Abdominal Imaging, Oncologic Imaging
USA
