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of pre-existing and new eDNA metabarcoding datasets obtained in Australian coastal waters. Co-develop a new computational tool and/or indices for detecting early signals of marine ecosystem change. Lead
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unresolved challenges in sampling design, DNA recovery, and signal variability. Towards this end, CSIRO has recently formed a multidisciplinary team, in collaboration with the Minderoo Foundation, dedicated
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Experience To be considered for this position, you will have: Completion of a PhD in a relevant discipline e.g psychology, ergonomics and human factors, public health. Evidence of experience in research and
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of new data to inform the development and testing of a new contemporary model of work. Skills and Experience To be considered for this position, you will have: Completion of a PhD in a relevant discipline
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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