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Japan and North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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Fellow. You will contribute both independently and as part of a team to collaborative research and development in sustainable energy modelling. In this role, you will play a key part in advancing the net
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
-driven Earth science. The successful candidate will develop independent and collaborative research that integrates large-scale geodynamic and plate-reconstruction modelling with advanced statistical and
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, linear mixed modelling, structural equation modelling, or twin data analysis. Strong analytical and problem-solving skills together with excellent writing skills with demonstrated experience in writing
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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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ethical and biosecurity requirements; curate samples to establish a national avian bone-marrow biobank; and develop integrated disease-modelling pipelines to support risk-based avian influenza surveillance