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advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
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for fish, poultry, and pet food. Currently, the link between larval growth and future reproduction has not yet been established. This thesis, primarily experimental, will be based on a BSF mass rearing
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, FCVD creates a liquid-like layer that fills narrow trenches on substrates before solidifying into films. We will model this across multiple scales, from atoms to fluid flow, using quantum chemistry
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at elevated temperature, storing chemical energy while producing a concentrated CO₂ stream suitable for storage. Chemical looping oxygen carriers, such as Fe- or Cu-based materials, will be integrated with
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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of objects, but current techniques are limited to small particles (micrometer to millimeter scale). In optics, the slowing down of light ("slow light") in structured media significantly amplifies radiation
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community stakeholders, are currently captured, stored and used. It will identify gaps, inconsistencies and missed opportunities for learning. Building on this analysis, the student will co-develop a
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opportunity for a Research Associate/Research Assistant in Quantum Modelling to join us in the Quantum Group in the School of Computing. You will join a diverse community of colleagues based in our state
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in finite element modelling and machine learning (desirable). How to apply Apply for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy . *The first step is to