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measuring prediction error signals in the brain. You will support the compelling hypothesis: a key function of sleep is to balance prediction and surprise. Key responsibilities will include: Research: Produce
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of the projects, acting as the first point of contact for all enquiries related to the research projects, research proposal, and provide support for the school's research operation management, including developing
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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
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translational clinical research. The successful candidate will be responsible for the design, development, and characterisation of a diagnostic electrochemical biosensor, incorporating signal processing and
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applications from the Aboriginal and/or Torres Strait Isla n der community. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Are you looking to take the next step in your academic career and make a tangible impact in mental health
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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, and Myanmar. The Research Fellow will serve as the key point of contact with our research partners and will be responsible for project management across several workstreams, while also contributing
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. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis software (Prism, Origin Pro
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$79,813 to $108,300 Fixed-term, full-time Gardens Point Reference number: 25370 Term: Fixed-term, full-time basis for two (2) years Remuneration: $94,453 to $128,163 pa (LEVA) (inclusive of $79,813