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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new
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geomechanics, or ability to quickly acquire relevant domain knowledge. Proficiency in high-performance computing (HPC) for large-scale parallel simulations. Experience with advanced constitutive models and their
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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the past five years (2020 or after), or PhD within the past two years (2023 or after) Completion of a research component in an Honours, Masters or PhD program within a creative arts/performing arts
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), or Masters degree within the past five years (2020 or after), or PhD within the past two years (2023 or after) Completion of a research component in an Honours, Masters or PhD program within a creative arts
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the past five years (2020 or after), or PhD within the past two years (2023 or after) Completion of a research component in an Honours, Masters or PhD program within a creative arts/performing arts
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
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past two years (2023 or after). Completion of a research component in an Honours, Masters or PhD program within a creative arts/performing arts discipline, or proven practitioner research experience and
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have a PhD and, ideally, a postdoctoral experience in computational chemistry, biophysics or related discipline with the demonstrated ability to develop and pursue innovative computational research