An Institute for Molecular Bioscience medicinal chemist is one of several University of Queensland researchers to be awarded an Australian Research Council (ARC) Future Fellowship.
![Associate Professor Markus Muttenthaler](/files/46988/Markus_Muttenthaler.jpg)
Associate Professor Markus Muttenthaler is developing molecular probes to understand long-term memory formation.
He studies neuropeptides - small protein-like molecules used by neurons to communicate with each other.
Neuropeptides are associated with long-term memory formation and Dr Muttenthaler aims to fill knowledge gaps about how memories are made.
His project will share almost $6 million with the other UQ projects which include quantum physics, improving personal security and helping disabled people enter the workforce.
The Future Fellowships are awarded to outstanding mid-career researchers, who will receive funding support for the next four years to undertake their innovative research in Australia.
UQ Future Fellowship 2021 recipients also include:
- Associate Professor Paul Harpur: to investigate how the higher education sector can better support people with disabilities to transition from economic exclusion to work.
- Dr Magdalena Zych: to develop a mathematical framework describing measurements of time with high-precision clocks sensitive to both quantum and gravitational effects.
- Dr Paul Evans: to build on new discoveries about ancient microorganisms belonging to the Archaea that process methane, a significant greenhouse gas.
- Dr Jingwei Hou: to investigate the highly stable and efficient semiconductive composite materials, recently discovered by his group, consisting of metal halide perovskite embedded in metal-organic framework glass.
- Dr Simon Haine: theoretical physics project to develop ultra-precise sensing capabilities for two main applications: ultrastable inertial sensors for improved navigation and gravimetry, and to search for signatures of quantum gravity.
- Dr Hongzhi Yin: tackling the challenging problem of personalised predictive analytics with resource-constrained personal devices and massive-scale data.
For more information, visit the ARC website.