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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify
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-year stipend scholarship to support pioneering research on wave energy converters. The successful candidate will work on cutting-edge experimental design and numerical modeling to better understand
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are recruiting four PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and
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for. Moreover, the areas of applicability and validity of those models are not available. The attempt to define the applicability domains in the 3D Euclidian space of dimensionless capillary-viscous and gravity
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of their candidature, willing to undertake the research internship for a minimum duration of 60 FTE business days, making satisfactory progress, and undertaking research in an area aligned with the proposed research
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annually) per annum. It is likely to be tax exempt, subject to Taxation Office approval. Enquiries: Contact Person: Professor Dominic Thewlis Discipline of orthopaedics and trauma Tel: (08) 83137096
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the University of Adelaide. Stipend: The scholarship will be for up to 3.5 years and has a stipend of $35,300 (indexed annually) per annum. It is likely to be tax exempt, subject to Taxation Office
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for 3.5 years and has a stipend of $35,300 (indexed annually) per annum. It is likely to be tax exempt, subject to Taxation Office approval. Enquiries: Contact Person: Amy Clair School/Discipline of