17 machine-learning Postdoctoral positions in canada

Postdoctoral Researcher for Machine Learning and AI Research in Healthcare

health trajectories from big health record data using advanced AI methods Professor Yue Li is hiring one Postdoc for the machine learning and AI research in healthcare. The position will be held

Postdoctoral Position In Computational Psychiatry (Real-World Applications of AI and Machine Learning on Health Data)

recruiting two postdoctoral fellows in computational psychiatry focusing on Real-World Applications of Artificial Intelligence (AI) and Machine Learning (ML) on Health Data (e.g., claims, prescriptions

Collaborative Postdoctoral Position - Medical Imaging AI

of Radiology - University of British Columbia. As a Postdoctoral Research Fellow, you'll play a pivotal role in leading and contributing to the development of a machine learning approach to automate

Post-Doctoral - Chemical & Biological Engineering (Machine Vision)

damage of wheat. The project requires fabrication of the dual camera machine vision system based on artificial neural network/deep learning and quantification of alpha-amylase activity in sprout affected

Research Assistant/Technician 4

combination of education and experience. Computer knowledge is essential, MS Excel, Word Ability to learn independently, research new processes, develop and validate new assays.

Postdoctoral Researcher in LISA multi-messenger gravitational wave astrophysics

binaries, (2) observations probing the nature of quasi-periodic eruptions, and/or (3) machine-learning accelerated inference of LISA data. The position start date is between August and December 2024, but

Postdoctoral Researcher - Watershed Nutrient Modeling Under Changing Climate

process-based agro-hydrological models and data by integrating with Machine Learning and Artificial Intelligence approaches at the WSML for agricultural watersheds of western Canada. More specifically, the

Postdoctoral research fellow focused on generative modelling of synthetic cohorts in brain research

well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based

Postdoctoral Researcher

sensing instrumentation for clouds and precipitation (e.g., cloud radar, passive or active satellite sensors) Experience with instrument simulators. Experience with machine learning techniques. Strong

Post-doctoral Fellow (Research Institute)

approaches and tools, • Experience analyzing large-scale genomic data (including next-generation sequencing and/or genome-wide genotyping datasets), • Strong computer programming skills (R/Python preferred