Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, develops and deteriorates with age, and how these processes can be understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will
-
to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
-
Lab, Montreal Neurological Institute (The Neuro), McGill University https://www.couturierlab.com About the Project The Couturier Lab is seeking an enthusiastic and driven Postdoctoral Fellow to
-
Dalhousie University’s Clinical Psychology PhD program, within the Department of Psychology and Neuroscience, Faculty of Science, is based on a scientist-practitioner model and is designed to give our
-
that are inextricable from their social contexts but to embed community knowledge into health-care institutions, systems and models of delivery. Learn more about the CERC here: https://www.torontomu.ca/cerc-health
-
Management Model and P.R.I.D.E. Model of Practice. In this position, you will: Coach, mentor and train staff as the expert and role model on your team. Demonstrate leadership exemplified by respect and
-
Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
-
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
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 days ago
Dalhousie University’s Clinical Psychology PhD program, within the Department of Psychology and Neuroscience, Faculty of Science, is based on a scientist-practitioner model and is designed to give our
-
, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological