294 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs in Australia
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developing research projects and reporting against milestones. Experience working with a range of computer systems and applications, including referencing software (e.g. EndNote), survey platforms and high
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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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+ 17% superannuation About the opportunity The School of Electrical and Computer Engineering, Faculty of Engineering is seeking a Postdoctoral Research Associate – Antenna Design to contribute to applied
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level. Excellent communication and
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. Base salary range: Level B, $118,150 – $139,812 p.a. plus 17% superannuation. About the area The School of Social Sciences offers a rich learning and research environment spanning social and cultural