“The Laboratory for RNA-Based Lifeforms” (https://RNAlab.ca) at the University of Toronto is an interdisciplinary research colelctive led by Dr. Artem Babaian. The lab focuses on understanding the structure and function of genes through the prism of RNA and computational biology.

The Laboratory for RNA-Based Lifeforms (https://RNAlab.ca) at the University of Toronto is an interdisciplinary research collective led by Dr. Artem Babaian. The lab focuses on understanding the structure and function of genes through the prism of RNA.

The sequence biodiversity of Earth’s RNA viruses and sub-viral agents is enormous and unexplored, at most 0.1% of the virome has been described. Our lab creates the computational means for ultra-efficient virus discovery by combining modern informatics and massive (petabyte-scale) data analyses. Building upon the Serratus project (www.serratus.io) we will explore the far limits of Earth’s Virome. 

The Department of Earth Sciences at the University of Toronto invites applications for a Research Associate (Limited Term) for 14-month appointment. The anticipated start date is April, 2025.

The position will be in the Exploration Geophysics research group, led by Professor Andrei Swidinsky (https://www.es.utoronto.ca/people/faculty/andrei-swidinsky/). The project involves the development of machine learning tools for carbon capture & storage, with a particular focus on reinforcement learning coupled with reactive transport flow modelling and geophysical simulation to optimize carbon mineralization processes.

The successful applicant will be expected to independently carry out research projects including formulating problems, developing machine learning algorithms, identifying/compiling/working with carbon mineralization data from industrial partners, and writing reports, papers and proposals.

The Department of Cell & Systems Biology (CSB) at the University of Toronto invites applications for a Senior Research Associate position to join Professor Sergey Plotnikov and Professor Ulrich Tepass’ research groups at the CSB Imaging Facility. Information about the CSB Imaging Facility can be found at https://csb.utoronto.ca/resources/#imaging. The anticipated start date is April 1, 2025.

The Research Associate is expected to independently conduct research for specific PI’s in the Imaging Facility. The incumbent will be responsible for the development of imaging protocols and image analysis routines for projects conducted by CSB laboratories, will use their expert knowledge to provide technical advice in experimental design and data analysis, and support research and teaching efforts that are related to the facility.