Postdoc fellowship funding opportunity – Designing RNA with Custom Properties using AI
Background
RNA therapeutics have been successfully implemented as vaccines, and their application to other conditions, such as cancer and rare diseases, is being explored. Custom design of RNA properties (e.g., storage stability, in vivo stability, and translation efficiency) is crucial to developing RNA therapies with increased efficiency and safety. However, this is a significant challenge due to an incomplete understanding of the relationship between RNA sequence and in vivo properties. This project aims to use state-of-the-art artificial intelligence architectures and large datasets to solve this challenge and design RNA molecules with tailored properties.
Project
This position will focus on developing deep learning models to predict and design RNA properties towards improved RNA therapeutics development.
Research Environment
The project is co-supervised by Dr. Paul Jaschke and A/Prof. Georgy Sofronov at Macquarie University in Sydney, Australia, across the Schools of Natural Sciences, Mathematical and Physical Sciences, and Computing. The supervisors have a wide range of experience in synthetic biology, bioinformatics, and statistical machine learning methods and receive support from the ARC Centre of Excellence in Synthetic Biology, Research Centre in Multi-omics, Biomolecular Discovery Research Centre, and the Data Horizons Research Centre. The postdoctoral fellow will work closely with a newly recruited PhD student and other members of the supervisor's diverse research groups on a Macquarie University BioInnovation Strategy project focussed on using AI for synthetic biology.
Position/Funding
We are looking for postdoctoral candidates interested in applying to the Australian competitive fellowship scheme National Intelligence Postdoctoral Grants (https://www.grants.gov.au/Go/Show?GoUuid=886e5160-c6d2-435b-822e-4ceab20dd741) to wholly fund this position. This fellowship requires that the applicant be an Australian citizen, Australian permanent resident, or a New Zealand Special Category Visa Holder. Only applicants who satisfy this requirement will be considered.
Briefly, this project will focus on developing deep learning models to predict and design RNA properties towards improved RNA therapeutics development.
This fellowship requires that the applicant be an Australian citizen, Australian permanent resident, or a New Zealand Special Category Visa Holder. Only applicants who satisfy this requirement will be considered.
Contact
If you are interested in applying for this funding scheme please send an email containing: (1) a CV, (2) short message introducing yourself and explaining how this project would fit into your career path, and (3) confirmation that you satisfy the citizenship requirements, to: [email protected]
Deadline
Friday 31 January 2025
RNA therapeutics have been successfully implemented as vaccines, and their application to other conditions, such as cancer and rare diseases, is being explored. Custom design of RNA properties (e.g., storage stability, in vivo stability, and translation efficiency) is crucial to developing RNA therapies with increased efficiency and safety. However, this is a significant challenge due to an incomplete understanding of the relationship between RNA sequence and in vivo properties. This project aims to use state-of-the-art artificial intelligence architectures and large datasets to solve this challenge and design RNA molecules with tailored properties.
Project
This position will focus on developing deep learning models to predict and design RNA properties towards improved RNA therapeutics development.
Research Environment
The project is co-supervised by Dr. Paul Jaschke and A/Prof. Georgy Sofronov at Macquarie University in Sydney, Australia, across the Schools of Natural Sciences, Mathematical and Physical Sciences, and Computing. The supervisors have a wide range of experience in synthetic biology, bioinformatics, and statistical machine learning methods and receive support from the ARC Centre of Excellence in Synthetic Biology, Research Centre in Multi-omics, Biomolecular Discovery Research Centre, and the Data Horizons Research Centre. The postdoctoral fellow will work closely with a newly recruited PhD student and other members of the supervisor's diverse research groups on a Macquarie University BioInnovation Strategy project focussed on using AI for synthetic biology.
Position/Funding
We are looking for postdoctoral candidates interested in applying to the Australian competitive fellowship scheme National Intelligence Postdoctoral Grants (https://www.grants.gov.au/Go/Show?GoUuid=886e5160-c6d2-435b-822e-4ceab20dd741) to wholly fund this position. This fellowship requires that the applicant be an Australian citizen, Australian permanent resident, or a New Zealand Special Category Visa Holder. Only applicants who satisfy this requirement will be considered.
Briefly, this project will focus on developing deep learning models to predict and design RNA properties towards improved RNA therapeutics development.
This fellowship requires that the applicant be an Australian citizen, Australian permanent resident, or a New Zealand Special Category Visa Holder. Only applicants who satisfy this requirement will be considered.
Contact
If you are interested in applying for this funding scheme please send an email containing: (1) a CV, (2) short message introducing yourself and explaining how this project would fit into your career path, and (3) confirmation that you satisfy the citizenship requirements, to: [email protected]
Deadline
Friday 31 January 2025
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