42 modelling-and-simulation-of-combustion-postdoc Postdoctoral research jobs in Australia
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cancer therapies, including gene- and cell-based immunotherapies. You will work with state-of-the-art technologies such as single-cell multiomics, stem cell models, and nanotechnology, within a
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-aperture testing of advanced thermal compensation schemes; advanced numerical simulation and analysis tools; improved opto-mechanical sensors for current GWD; high-precision measurement of optical absorption
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ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to apply
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) in FPGA design, machine learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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, stem cell models, and nanotechnology, within a collaborative and innovative research environment. It is an exciting opportunity to be at the forefront of translational cancer research. Key
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and experience. A copy of the Position Descriptions can be found on JOBS@UNSW . Contact Dr. Fabio Luciani, E: Luciani@unsw.edu.au Additional Resources: Applications close: 9th September 2025 before
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the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago. The successful candidate will be a sedimentary
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications