We are seeking an enthusiastic and motivated graduate student to join our interdisciplinary team as part of a pioneering project that aims to develop non-DNA-based life forms. The successful candidate will work closely with experts in computational biology, RNA structure prediction, and synthetic biology on the project Towards Non-DNA Based Life: Design and Evolution of Cells Subsisting on Chemically-Altered Ribose Sugars. This project is funded and is hosted by a collaborative team of scientists at the University of Alberta, University of Toronto, and Keele University.
Key Responsibilities:
Use proprietary software to model and rank xenoriboses, evaluating their effects on DNA/RNA structure and DNA/RNA-protein interactions.
Collaborate with synthetic chemists to ensure all selected xenoriboses are synthetically feasible, removing any that cannot be produced.
Liaise with molecular biologists to provide computational insights for lab-based evolution of bacteria subsisting on modified sugars.
Contribute to refining algorithms based on experimental feedback throughout the project.
What We Offer:
Full funding for the duration of the graduate program.
Hands-on experience at the frontier of synthetic biology.
Opportunity to work on a high-impact project with potential applications in biotechnology, medicine, and the understanding of life's origins.
Access to state-of-the-art computational tools and close collaboration with leading experts in the fields of RNA biology and chemistry.
A chance to contribute to research that challenges the central dogma of molecular biology.
Ideal Candidate Profile:
Background in computational biology, bioinformatics, computer science, computer engineering or related fields with a strong interest in RNA structure and synthetic biology.
Experience with or a willingness to learn molecular modeling techniques (e.g., secondary structure prediction, molecular dynamics simulations).
Ability to work effectively in a collaborative, interdisciplinary research environment.
Excellent communication and problem-solving skills, with an eagerness to explore new, cutting-edge topics in science.
How to Apply: Interested candidates should send a CV, cover letter, and the names of two referees to jabbari@thecobralab.com by November 15, 2024. In your cover letter, please detail your relevant experience and interest in the project. Applications will be reviewed as received until the position is filled.