39 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of Sydney in Australia
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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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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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: 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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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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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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the Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering. CIoTT is internationally recognised for excellence in wireless communications and signal processing and
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students or junior staff, alongside strong computer literacy and a commitment to service excellence. This position has been designated for Aboriginal and Torres Strait Islander people only under
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. The Research Fellow will contribute to the development of an implementation science evidence-base to support the transferability of this learning for adaptation to other settings. The successful applicant would
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researchers, or clinical trainees, and supporting their development in systematic reviews, evidence synthesis, epidemiology and research methods · strong computer literacy, including statistical software
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organisational skills, with the ability to work effectively both independently and as part of a team be confident using computer applications including the Microsoft Office suite and online collaboration tools