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Curtin University Background in genetics, bioinformatics, epidemiology, biostatistics, or related fields Demonstrated computational skills and experience with genomic or health data analysis Commitment
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, to take full advantage of these complex datasets we will use bioinformatics to enable quicker and more comprehensive analysis. Aims: By using a bioinformatics analysis pipeline we will investigate whether
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populations held in police custody. They are much more likely to experience socio-economic disadvantage, alcohol and/or other drug dependencies and have unmet complex and chronic mental and physical health
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
of disease and are readily available for many diseases, however there is a need for vaccines to complex diseases such as malaria and cancer. Vaccines to complex diseases are more difficult to design and
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The PhD candidate will gain intensive knowledge in innovative processing protocols for complex mineral processing, column leaching, and mining site environmental science through hands-on experiments
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, teams are adapting to significant technological advances accompanied by great volumes of incoming data. Such changes have the potential to improve capabilities in complex and uncertain conditions, but
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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
About the project Standard cost-benefit analysis (CBA) frameworks have not been extensively incorporated across disaster resilience and risk reduction funding programs, due to the complexities in
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, mechanisms under complex monotonic and fatigue (cyclic) loading and assessing their effects on the residual strength degradation and consequent fatigue life. Using this information, a parametric study will be
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parameters will be assessed. The goal of the projects will be to identify best clinical practice for this complex surgical problem. The projects will be separated along clinical and radiological/engineering
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advantageous. Proven expertise in handling large datasets and time-series analysis. Familiarity with electricity market data is a plus. Advanced Python programming skills, preferably with experience in machine