79 phd-in-mathematical-modelling-of-biochemical-reactions PhD positions at Curtin University
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responders are at increased risk of poor mental health outcomes. If we achieve similar findings to the university study, this model will reduce suicidal intentions and behaviours in first responders by 42%. It
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predictive capability for post-TAVR outcomes against traditional metrics. iii) Incorporate the AI-based frailty evaluation into surgical risk scores for a comprehensive risk prediction. iv) Examine the model's
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The ideal candidate for the PhD Higher Degree by Research (HDR) project must possess a varied and specialized array of capabilities and skills. An overview of the essential capabilities and skills needed
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, in the Faculty of Business & Law at Curtin University, is seeking one (1) doctoral applicant (PhD) to join an Australian Research Council [ARC] Discovery Project, namely: Optimizing Benefits
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courses Any HDR student willing to use mathematical modelling and simulation in engineering and physical problems. Eligibility criteria Strong mathematical background Strong analytic abilities Experience in
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to further Australia’s contribution to the international Square Kilometre Array (SKA) Observatory. The key science question being addressed in this PhD is closely linked to both the core scientific activities
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation
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. Eligibility criteria We seek a highly motivated PhD student with the following qualifications: A bachelor's or master's degree in computing or mathematics with research experience. Proficiency in programming
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, (9) Industry, Innovation and Infrastructure, (11) Sustainable Cities and Communities and (12) Responsible Consumption and Production. The PhD will be conducted within the Hydrogen Storage research
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Geophysics at Curtin University in Perth, Western Australia, offers an exciting PhD research opportunity in the area of active and passive seismic data analysis. The PhD candidate will be involved in