Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
-
record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience in utilizing machine learning libraries such as PyTorch
-
Postdoctoral Fellowship in Quantum Navigation Two postdoctoral positions are available immediately in Professor Cory’s laboratory for the development of a quantum navigational device in
-
The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
-
scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
-
research and development. Here, you can apply your engineering talent to develop new life-saving technologies – for example, medical imaging, wearable devices, surgical robotics and laboratory-grown tissues
-
Research Fellow to lead the development of novel single-cell functional genomic approaches to identify therapeutic vulnerabilities in prostate cancer. This project integrates cutting-edge single-cell
-
to inform the development of clinical guidelines for safely deprescribing medications. Another focus will be conducting quantitative analysis of large health datasets related to reducing low-value laboratory
-
Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics. This role focuses on developing and applying AI and
-
hydrogen/methane blends in 15 MW boilers and prepare a report (thermal power and heat transfer analysis at large-scale); b) Collaborate with UBC technicians in acquiring data from our 15 MW boilers, analyze