Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
-
to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Division of Breast Imaging in the Department of Diagnostic Radiology, University of Miami Health System
-
#00841433 – Requisition #38150 Job Summary: The Department of Radiology at University of Colorado is seeking applicants for a full-time Academic Diagnostic Medical Physicist and faculty member in the Division
-
Division to make a significant contribution to the success of one of the largest groupings of social scientists in the world. Accountable to the University Registrar and the Head of Division, the postholder
-
The Division of Musculoskeletal Imaging in the Department of Radiology, University of Miami Health System and Leonard M. Miller School of Medicine, is seeking a fellowship-trained candidate for a full-time
-
We are looking for a Chief Operating Officer (Divisional Registrar) to join the leadership of the Social Sciences Division to make a significant contribution to the success of one of the largest
-
learning on large-scale HPC systems Scalable and energy-efficient AI training algorithms Image reconstruction, segmentation, and spatiotemporal modeling High-performance computing for large-scale AI and
-
to join the Division of Radiotherapy & Imaging, on a fixed-term position. The successful candidate will provide highly efficient, proactive and comprehensive executive assistant and management support to
-
Division I athletics draw students from throughout the region and from more than 100 countries across the globe. Our university's vibrant culture, career opportunities, rich benefits, and values of respect
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 24 days ago
of methods that allow for detection and segmentation of Multiple Sclerosis lesions from spinal cord MRI images acquired with current clinical protocols. It must be emphasized that MS lesion segmentation in