国产探花

Twenty-five University of Queensland researchers are celebrating a combined multi-million-dollar success in the Queensland Government’s scheme.

Deputy Premier Jackie Trad announced 50 fellowship recipients last night (23 March), with 国产探花 taking the lion’s share with 20.

Six mid-career and 14 early-career researchers at 国产探花 received a combined $4.32 million in fellowship funding. Associated funding from industry partners boosts the total value to $6.77 million.

Additionally, five 国产探花 researchers were awarded PhD scholarships worth $45,000 each.

国产探花 Vice-Chancellor Professor Peter H酶j congratulated all the fellowship and scholarship winners.

“The Government’s continued focus on and support for science and research ensures that the state reaps the benefits of extraordinary work by Queensland’s best researchers,” Professor H酶j said.

国产探花 Deputy Vice-Chancellor (Research)  said she was delighted to see such significant support for researchers working to create positive change in fields including health and medicine, mining and energy, primary industries, and technology.

“I’m particularly pleased to see that seven of the 国产探花 recipients are women,” she said.

“They are working in fields as diverse as influenza detection, the oyster industry, and energy.”

Deputy Premier Trad said the research would benefit Queensland and have global impact.

“We are supporting researchers from across the state who are collaborating with industry to give them a vital boost to ensure their significant research can translate into practical outcomes,” she said.

“Not only do we want to create jobs and boost commercialisation opportunities in Queensland, but we want to improve the lives of Queenslanders – and there is real potential to do that.”

Advance Queensland Research Fellowships are for PhD-qualified researchers undertaking original research that will benefit Queensland.

Mid-Career Fellowships are worth $300,000 over three years, and Early-Career Fellowships are worth $180,000 over three years.

国产探花’s Mid-Career Fellowship recipients and their projects are:

, , Road monitoring and anomaly detection using microwave based sensors.

, , Drug repurposing for neurodegeneration using artificial intelligence and machine learning.

, , Cheaper and safer flow battery for micro-grid energy storage.

, , Reinvigorating the Queensland oyster industry.

, , New horizons with BioClay: protecting crops from aphids and whiteflies.

, , Supersonic combustion of hydrocarbon fuels for high-mach-number axisymmetric scramjets.

Early-Career Fellowship recipients are:

Dr Sasan Ahdi Rezaeieh, , Electromagnetic torso scanner for fatty liver disease detection and monitoring.

, , CP muscle-movement toolbox: expand early detection of cerebral palsy.

, , Developing and implementing new chemistries to effectively recover fine coals.

, , Enhancing CSG well production through well bottom-hole pressure control.

, , Female reproduction phenobank and validation herds.

, , Environmentally adaptive antimicrobial surfaces for application in the aircraft industry.

, , Machine learning, data analytics and knowledge management for microgrid data.

Dr Hina Khan, , Data management, exploration and visualisation for smart energy grid.

Dr Chang Lei, , Nano-lateral flow assays for rapid and ultra-sensitive influenza detection.

, , The early diagnosis of neurodevelopmental disabilities using integrated bioengineering technology.

, , Is Queensland's economy resilient to an energy shock?

, , Approaching antigen-presenting cell immunotherapy for cervical cancer using single-cell transcriptomics.

Dr Wayes Tushar, , Peer-to-peer energy trading scheme for sustainable cities.

Dr Najeeb Ullah, , Exploring opportunities to improve wheat performance to future warmer climates.

国产探花's Advance Queensland PhD scholarship recipients and their projects are:

Mr Edward Kerr, Systems biology of beer: genomics and proteomics for brewing biochemistry.

Miss Erin Oliver, Planar reconfigurable antennas for on-the-move satellite communications.

Mr Lei Lang, CyFiT - Outpatient telerehabilitation management for Queensland children with cystic fibrosis.

Mr Llewyn Salt, Multi-Objective Optimisation and Multi-Agent Learning for IoT Devices.

Mr Basam Tabet, Manipulating sorghum grain size, grain number and grain quality.

Media: Fiona Cameron, communications@uq.edu.au, +61 7 3346 7086.