Sort by
Refine Your Search
-
, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
-
Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
-
: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
-
the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time teaching stream position in the area of Artificial Intelligence and Deep Learning. The appointment
-
The expected pay for this position is $70,000 per year + benefits. AI and Deep Learning for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University
-
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
-
university, Waterloo combines multi-disciplinary research, deep connections with industry, unique creator-owned IP policy and robust commercialization support to turn discoveries into real-world solutions
-
experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
-
Beginning of the main content section. Printable Format Job 1 out of 44 Previous | 1 2 3 4 5 | Next Job Description - Early Learning and Child Care Consultant (CON003022) Early Learning and
-
, sciences, and professional fields. The successful candidate will benefit from a robust, existing Inter-Faculty bridge between the Department of Equity, Ethics, and Policy (DEEP) and the Department