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record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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research to generate research outputs of high standard Development, fitting, simulation and parameter recovery of computational models Communicate research findings through scientific publication in peer
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research to generate research outputs of high standard Development, fitting, simulation and parameter recovery of computational models Communicate research findings through scientific publication in peer
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and
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the recruitment process. To Be Successful You Will Need Level ARAS Relevant tertiary qualifications and demonstrated experience in transcriptomic data analysis and relevant methodologies (e.g. RNA-seq, clustering
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of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid