Sort by
Refine Your Search
-
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
-
tissue collection infrastructure, generate foundational single-cell and spatial omics datasets, and develop patient-tissue glioma organoid (PTGO) models to test immunotherapy strategies. The ultimate goal
-
Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
currently based on clinical and lifestyle factors, but these have limited predictive value. Adding molecular risk factors to these assessments could improve risk prediction. Our recent research has shown
-
: - Development of programmable control elements for self-amplifying RNA (saRNA) therapeutics. - Regular mentorship meetings with the supervisor - Training in the new technique and workflows relevant
-
researchers, clinicians, and research associates, from specific underrepresented groups to help them launch their research faculty careers in Canada. Through its two-phase model, which begins with mentored
-
Cardiac Centre. The Epelman Lab is seeking a highly motivated postdoctoral fellow to join our laboratory to study mechanisms of cardiovascular disease using integrative mouse models of multi-morbidity. Our
-
ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
-
treatment strategies that can work alongside existing immunomodulatory therapies to treat metastatic disease. We use advanced somatic mouse models of mammary carcinogenesis to model chronic systemic
-
inverse modeling methods, machine learning, and artificial intelligence techniques. Appointment Details: Start date: As early as March 1, 2026. Annual Salary: $55,000 Application review: Ongoing until
-
models of healthy and pathological aging. Skills: The successful candidate must have experience: Conducting, analyzing and publishing work using resting state fMRI/task-based fMRI/diffusion MRI methods