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publications. It involves conducting systematic reviews and working with analytical software such as R or Python, with a focus on both independent and collaborative research. The role also requires experience in
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server infrastructure. Collaborative software development using tools such as git/GitHub or equivalent. Highly desirable: experience with generative representation learning models (VAEs, GANs, etc
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experience with analytical software like Stata, R, or Python, are essential. The ideal candidate will also have experience with geospatial tools. Additionally, you will have experience designing and managing
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and immunotherapy research, a well-established clinical trial network, and recognised leadership in producing industry-ready graduates. With in-depth expertise and extensive experience in AI and machine
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, Software Engineering, or a related field. Demonstrated experience in deep learning and large language model research, joint modality representation learning, knowledge graph construction, particularly in
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areas. You will embed your research expertise into the life of the School through the development of high-quality, productivity-driven research networks across RMIT and with local and national, internal
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the Queensland State Government to establish The National Quantum Computing Testbed Facility (NQCT). NQCT partners with CSIRO to develop a quantum software stack and with several industry partners for microwave
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. Working at CQUniversity Join CQUniversity as a Postdoctoral Research Fellow in the School of Engineering and Technology, focusing on developing resilience frameworks for electrical energy networks against
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datasets. Experience with 3D data visualization programs. Knowledge of programming and software development. First-hand industry experience in mining, exploration, GIS, petrophysics or geophysics Why JCU
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research networks across RMIT and with local and national, internal and external partners. You will be expected to engage in high quality research projects, to achieve success in attracting research funding