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, biotechnology, computational science or a related discipline. demonstrated experience in mechanistic modelling, numerical simulation or optimisation of biological or process systems. experience
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to develop innovative methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of
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Artificial Intelligence Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to
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imaging datasets. Strong technical knowledge across the data lifecycle, including research data architecture, data pipelines, database management, SQL, REDCap, cloud or high-performance computing
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CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave and antenna components using industry-standard electromagnetic simulation
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particular focus on flexible molecular crystals. Undertake molecular synthesis, crystal growth and advanced characterisation, develop and implement diffraction methods, including at major facilities, and
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rural communities. Working alongside leading researchers in a supportive, inclusive and innovative environment, you will play a key role in advancing high-quality mixed-methods research, fostering
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mathematics, statistics, computing, or biology. Applicants with a strong quantitative (particularly applied statistics) or computer programming background, combined with marine biology, will be favoured
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. Desirable: experience with qualitative or mixed methods or working in clinical or health service environments. How to apply Apply for this scholarship at the same time you apply for admission to a QUT
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advanced statistical and computational methods publish findings, present at conferences, and contribute to grants, ethics submissions, and research reporting build collaborations, translate research into