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disease models to inform the design, implementation, and effectiveness of population health interventions, particularly vaccines and immunotherapeutics. We use a range of mathematical and statistical
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skills to contribute effectively to the research efforts of CHeBA and UNSW. Skills Required: A PhD in Neuroimaging, Data science, Engineering, or a related field or a recently submitted PhD thesis with
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(applied mathematics, applied statistics, computer science) (4 positions available) to join School of Mathematical Sciences, Faculty of Science, Academic Division. MACSYS is intended to generate
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(applied mathematics, applied statistics, computer science) (4 positions available) to join School of Mathematical Sciences, Faculty of Science, Academic Division. MACSYS is intended to generate
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also an opportunity to contribute to research that is being commercialised through a university spin-out company. About You You will be a Phd qualified, highly motivated individual with a research
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statistical inference, and contribute to their implementation. The candidate will be expected to conduct independent, quality research and contribute to the collegial culture of the research group. They will be
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Machine Learning”). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed statistical inference, and
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to lead RNA-based data and associated statistical analytics, disseminate their findings via both publication and presentation to the research community, work independently and within a larger multi-omic and
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aligned to these values and are looking for a Postdoctoral Research Associate (Agricultural Remote Sensing) who has: a PhD (or near completion) in remote sensing, precision agriculture, computer science
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prevention and early intervention approaches Lead preparation of research outputs, including conducting statistical analyses and preparing peer-reviewed journal publications and conference presentations