25 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at University of Adelaide in Australia
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. Experience in one of more of: advanced optical imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary
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media; the development and application of numerical methods of image and signal analysis The ability to work well with people both in academia and Industry The ability to plan and manage own research
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applications in other multidisciplinary fields. The successful applicant will be required to undertake both experimental work and numerical studies. They will be expected to liaise with key institutes such as
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methods. Strong experience with scientific computing and data analysis, ideally using python or an equivalent language. A strong record of producing peer reviewed research-based publications in areas
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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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-performance computing (HPC), Bragg Crystallography facility, and Adelaide Proteomics Centre. Our collaboration with Monash University further extends our access to advanced 300 kV Titan Krios and Helios 5 UX
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leading research institute in machine learning, artificial intelligence and computer vision. With world-leading researchers, modern facilities and an innovative culture, we're committed to delivering
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component with cutting-edge materials synthesis and advanced analytical methods. These positions can offer you an exceptional opportunity to work closely with key research participants around the world. To be
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contribution of 17% superannuation applies. Full-time, fixed term position for 13 months. We are seeking a Postdoctoral Research Fellow (Level B) to join the School of Computer and Mathematical Sciences
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or knowledge of invertebrates within southern Australian agricultural systems Experience with molecular methods for species identification and/or population genetics. Knowledge of statistical analysis, data