Sort by
Refine Your Search
-
). Postdoctoral Fellow, Multimodal Machine Learning Role Overview The Postdoctoral Fellow will develop techniques to build a foundation model of human neurotypes by integrating cognitive task performance
-
, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries
-
pipelines to test measurement quality, reliability, and validity. Partner with the machine learning team to define interpretable features and target evaluations for multimodal models. Qualifications: PhD
-
complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; laboratory-based biomarker discovery and validation using maternal and neonatal biospecimens
-
developing or implementing quality control programs or long-term performance monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows
-
workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness
-
University of British Columbia - Department of Medicine | Northern British Columbia (Fort Nelson), British Columbia | Canada | about 1 month ago
Seurat, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should
-
, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter Curriculum vitae Research