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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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with the community and monitoring the value of social distancing measures during the early phases of the COVID-19 pandemic. Proposed PhD/MSc Chapters 1) Self-testing for influenza/COVID-19/RSV when
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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half years to complete. Ideal candidate This PhD research opportunity would suit someone with a strong quantitative background (e.g. econometrics, statistics), and an interest in applying their skills
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statistics. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via
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supports a full-time PhD student on a new research project titled Managing vine nutrition to influence winemaking. The project will investigate how vine health and nutrition can be manipulated or optimised
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research priority, leverage existing Australian investments, and provide computational and statistical training. Expected outcomes include advances in astrophysical knowledge, enhanced national and
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% of the student’s stipend rate. Be an Australian citizen or Permanent Resident, or a New Zealand citizen. Meet participating university PhD admission requirements. Meet university English language requirements. Not
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are looking for a motivated PhD candidate with an interest in clinical and emotion research. Candidates should ideally have strong skills in quantitative statistics. Must be eligible to enrol in PhD programs