College of Science & Engineering
Sophia Love
- Doctor of Philosophy (Natural and Physical Sciences)
- sophie.love@jcu.edu.au
Elle Robertson
- Doctor of Philosophy (Agriculture, Environmental and Related Studies)
- elle.robertson@jcu.edu.au
Romain Vaucher
- Senior Lecturer, Sedimentology
- romain.vaucher@jcu.edu.au
Jenny Fisher
- Associate Dean, Learning and Teaching
- jenny.fisher@jcu.edu.au
Ambili Narayanan
- Doctor of Philosophy (Natural and Physical Sciences)
- ambili.narayanan@my.jcu.edu.au
Sarfaraz Ali
- Postdoctoral Research Fellow
- sarfaraz.ali@jcu.edu.au
Mikaeylah Davidson
- Postdoctoral Research Fellow
- mikaeylah.davidson@jcu.edu.au
Liuxin Chen
- Adjunct Lecturer
- liuxin.chen@jcu.edu.au
Rafael Cabral Carvalho
- Lecturer, Marine Geoscience
- rafael.cabralcarvalho@jcu.edu.au
Tom Lloyd
- Postdoctoral Research Fellow, Global Ecosystems
- tom.lloyd@jcu.edu.au
Sustainable REE extraction from Australian ores using environmentally friendly reagents, advanced characterisation techniques and geological knowledge
This project aims to improve the sustainable extraction of rare earths from Australian ores using environmentally friendly reagents.
Sustainable REE extraction from Australian ores using environmentally friendly reagents, advanced characterisation techniques and geological knowledge
This project aims to improve the sustainable extraction of rare earths from Australian ores using environmentally friendly reagents.
Sustainable REE extraction from Australian ores using environmentally friendly reagents, advanced characterisation techniques and geological knowledge
This project aims to improve the sustainable extraction of rare earths from Australian ores using environmentally friendly reagents.
Sustainable REE extraction from Australian ores using environmentally friendly reagents, advanced characterisation techniques and geological knowledge
This project aims to improve the sustainable extraction of rare earths from Australian ores using environmentally friendly reagents.
Optimising the geophysical ore body model to aid in the discovery of new critical mineral deposits
This project aims to develop advanced geophysical tools that can help exploration companies identify critical mineral resources. Current geophysical exploration methods—such as magnetic, electric, gravimetric, magnetotelluric, radiometric, and seismic surveys—are commonly used in the industry to detect geophysical anomalies. However, many detected anomalies do not contain mineralization due to a lack of tools to identify the specific geophysical signatures of ore bodies.
Our goal is to create tools that enable explorers to distinguish between barren and mineralized anomalies, enhancing the accuracy of mineral discovery. Currently, there is limited knowledge on the specific geophysical responses of mineralized ore bodies. Some preliminary research by CSIRO on IOCG deposits in Cloncurry suggests that combining geological and petrophysical data can model an ore body's geophysical response.
Optimising the geophysical ore body model to aid in the discovery of new critical mineral deposits
This project aims to develop advanced geophysical tools that can help exploration companies identify critical mineral resources. Current geophysical exploration methods—such as magnetic, electric, gravimetric, magnetotelluric, radiometric, and seismic surveys—are commonly used in the industry to detect geophysical anomalies. However, many detected anomalies do not contain mineralization due to a lack of tools to identify the specific geophysical signatures of ore bodies.
Our goal is to create tools that enable explorers to distinguish between barren and mineralized anomalies, enhancing the accuracy of mineral discovery. Currently, there is limited knowledge on the specific geophysical responses of mineralized ore bodies. Some preliminary research by CSIRO on IOCG deposits in Cloncurry suggests that combining geological and petrophysical data can model an ore body's geophysical response.
Optimising the geophysical ore body model to aid in the discovery of new critical mineral deposits
This project aims to develop advanced geophysical tools that can help exploration companies identify critical mineral resources. Current geophysical exploration methods—such as magnetic, electric, gravimetric, magnetotelluric, radiometric, and seismic surveys—are commonly used in the industry to detect geophysical anomalies. However, many detected anomalies do not contain mineralization due to a lack of tools to identify the specific geophysical signatures of ore bodies.
Our goal is to create tools that enable explorers to distinguish between barren and mineralized anomalies, enhancing the accuracy of mineral discovery. Currently, there is limited knowledge on the specific geophysical responses of mineralized ore bodies. Some preliminary research by CSIRO on IOCG deposits in Cloncurry suggests that combining geological and petrophysical data can model an ore body's geophysical response.
Optimising the geophysical ore body model to aid in the discovery of new critical mineral deposits
This project aims to develop advanced geophysical tools that can help exploration companies identify critical mineral resources. Current geophysical exploration methods—such as magnetic, electric, gravimetric, magnetotelluric, radiometric, and seismic surveys—are commonly used in the industry to detect geophysical anomalies. However, many detected anomalies do not contain mineralization due to a lack of tools to identify the specific geophysical signatures of ore bodies.
Our goal is to create tools that enable explorers to distinguish between barren and mineralized anomalies, enhancing the accuracy of mineral discovery. Currently, there is limited knowledge on the specific geophysical responses of mineralized ore bodies. Some preliminary research by CSIRO on IOCG deposits in Cloncurry suggests that combining geological and petrophysical data can model an ore body's geophysical response.
Genetic sequencing analysis of Nangur spiny skink tissue samples to inform the captive breeding program
This project will be undertaken as laboratory analysis of genetic sequencing data of 41 captive N. spinosa tissue samples that will inform pairing for the captive breeding program at the Walkabout Creek Discovery Centre captive breeding facility.
Genetic sequencing analysis of Nangur spiny skink tissue samples to inform the captive breeding program
This project will be undertaken as laboratory analysis of genetic sequencing data of 41 captive N. spinosa tissue samples that will inform pairing for the captive breeding program at the Walkabout Creek Discovery Centre captive breeding facility.
Complex growth rate evolution in a latitudinally widespread species
- 2004
- Wiley-Blackwell
- Researchers:Lin Schwarzkopf
Coral bleaching, reef fish community phase shifts and the resilience of coral reefs
- 2006
- Blackwell Publishing
- Researchers:David BellwoodAndrew Hoey
Regional-scale assembly rules and biodiversity of coral reefs
- 2001
- American Association for the Advancement of Science
- Researchers:David BellwoodTerry Hughes
Confronting the coral reef crisis
- 2004
- Nature Publishing Group
- Researchers:David BellwoodTerry Hughes
Influence of age and moderate-intensity exercise training on heart rate variability in young and mature adults
- 2003
- Human Kinetics
- Researchers:Anthony LeichtAndrew Hoey
Influence of intensive cycling training on heart rate variability during rest and exercise
- 2003
- NRC Reserch Press
- Researchers:Anthony LeichtAndrew Hoey
Battleship by foot: learning by designing a mixed reality game
- 2006
- Murdoch University
- Researchers:Jason Holdsworth
Partition-distance via the assignment problem
- 2005
- Oxford University Press
- Researchers:Dmitry Konovalov
Direct simulation of weak axisymmetric fountains in a homogeneous fluid
- 2000
- Cambridge University Press
- Researchers:Wenxian Lin
Start Date:
01 Oct 2022
Start Date:
01 Jan 2020
End Date:
01 Jan 2022
Start Date:
01 Jan 2024
End Date:
01 Jan 2024
Start Date:
01 Jan 2024
Start Date:
01 Jan 2018
End Date:
01 Jan 2021
Start Date:
01 Jan 2019
Start Date:
01 Jan 2022
Start Date:
01 Jan 2024
End Date:
01 Jan 2028
Title:
CSE Green Open Access Award
Start Date:
01 Jan 2025
Start Date:
01 Jan 2025
