36 modelling-and-simulation-of-combustion-postdoc Postdoctoral research jobs in Australia
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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-antigens. The successful candidate will employ a broad suite of immunological and molecular tools—such as flow cytometry, cell-culture, single-cell RNA sequencing, data analysis and in vivo models
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cellular biology laboratory work, providing scientific support to an NHMRC funded project in a mouse model acute lung injury and a collaborative microbiome project in stool samples collected from patients
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a Postdoctoral Research Associate to join the team and contribute to this initiative. Working closely with materials modelling experts, you will have a primary role in planning experimental materials
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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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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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) 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