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required to address each element of the selection criteria, but you should provide sufficient information in your application to enable the selection panel to make an informed assessment of your suitability
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Earth Engine, ENVI, MATLAB, or R. Desirable Proficiency in applying machine learning methods to multispectral and hyperspectral data for detecting crop diseases and estimating crop yield and quality
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zero 2050 targets. Advance national building energy tools, developing HVAC sizing methods within AccuRate and AccuRate Home for NatHERS. Work on applied, real‑world modelling that directly informs
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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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community. We're committed to attracting, retaining, and promoting diverse talent, particularly from Australia’s First Nations Peoples. If you require an alternative method to submit your application due
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initiatives, with emerging leadership capability. Strong organisational skills with attention to detail in the documentation of research methods and outcomes. A developing record of supervision of Honours and
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promoting diverse talent, particularly from Australia’s First Nations Peoples. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please
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and quantitative methods, with excellent communication, collaboration and research leadership skills Lived experience as a veteran, family member, or close connection to the veteran community (desirable
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extraction PCR. Well-organised, methodical, self-motivated, problem-solving, and ability to work independently on routine procedures while also collaborate effectively within diverse teams. A developing
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profile in research and development of methods for capture, processing and derivation of products from terrestrial and/or UAV LiDAR and other earth observation data, preferably for environmental monitoring