292 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Australia
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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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. • Prior experience conducting systematic reviews is desirable, but not essential. • Strong level of computer literacy with strong skills in the use of Microsoft Office software and other applications
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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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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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comprehensive courses across two Monash campuses – Clayton and Peninsula. Our high-quality tertiary degrees are delivered in a vibrant and supportive learning environment to equip students for a rewarding career
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ability to translate expert content into engaging, high-quality interactive learning modules. This is a casual role in which the work hours will vary from week to week depending on participant availability
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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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skills and experience: Previous experience supporting a research project. Demonstrated interpersonal communication skills. Demonstrated time management skills. Proficient level of computer literacy with