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communities globally by promoting and supporting the use of the best available evidence to inform decisions made at the point of care. This work begins and ends with the needs of those working in and using
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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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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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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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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software (Prism, Origin Pro, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to
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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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focus on the analysis and interpretation of transcriptomic data, including bulk, single-cell, and/or spatial RNA-seq to investigate gene regulation, cell fate, and developmental signalling. Fellows will
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, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to
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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