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cell biology, molecular biology, immunology, CRISPR-Cas9 technology and working with pre-clinical cancer models. You will have a proven track record of research achievement and the ability to articulate
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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial
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projects on time and within budget. Expertise in quantitative genetics, genomics, breeding program simulations, or related areas, preferably in grain crops, with a focus on modelling genetic-environment
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requires strong technical skills in Python, R, machine learning models, cloud computing, edge computing, and FPGA. Additionally, you will contribute to the AI Centre by designing new AI subjects, supporting
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specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model
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for disease prevention and control. ODeSI has extensive experience in operational research and field surveys (including international projects), predictive risk mapping and modelling (spatial epidemiology
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- $113,262 p.a. plus 17% super Advance cutting-edge research in econometrics and statistical modelling, contributing to the development of sophisticated analytical tools that enhance the understanding
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- $113,262 p.a. plus 17% super Advance cutting-edge research in econometrics and statistical modelling, contributing to the development of sophisticated analytical tools that enhance the understanding
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available for passionate and early career Researcher to join our team within the College of Science and Engineering as a Postdoctoral Research Fellow, Geophysical Ore Body Modelling. Full-time; fixed-term
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and our PhD program has launched a thousand research careers. About the opportunity The Postdoctoral Research Fellow will support the research and engagement activities of the Australian Research