Sort by
Refine Your Search
-
Biology, Medical Imaging, Physiology, Biochemistry, or a related field. Experience: Experience with animal models of disease Strong publication record Strong communication skills Skills: Experience with
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
-
include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
-
processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
-
. QUALIFICATIONS Successful applicants will have: PhD in Biomedical Engineering, Ultrasonics, Medical Imaging, Applied Physics, or related field Experience with imbedded hardware, signal processing, and programming
-
generated large-scale, multimodal datasets spanning neural imaging, electrophysiology, behavior, and molecular profiling. While these data offer unprecedented opportunities to understand brain function
-
the trajectory of physical function and body composition in this population and the correlation between established markers from CT imaging, physical function and quality of life. The CEPL is committed
-
The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
27 Jan 2026 Job Information Organisation/Company The University of British Columbia (UBC) Research Field Biological sciences » Biological engineering Medical sciences Researcher Profile Recognised
-
The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER) Textual and Voice data Apply supervised, unsupervised, and self-supervised learning methods. Develop
-
the milieu of clinical practice, and are ultimately devoted to improving the care, treatment, and well-being of patients. The Department offers academic degrees at the bachelor’s (Bachelor of Medical