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the development and validation of multi-scale fracture mechanics models. In this role, you will bridge numerical simulation with physical experiment, developing automated Python workflows, running
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machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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‘Qualifications and experience’ in the Position Description. For a confidential discussion regarding this role, please contact Gary Sacks, Professor of Public Health Policy via [email protected] . For a copy
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statistical methodology, including genomic prediction, crop simulation and machine learning, to improve prediction of crop yield and related traits. Supervision and Researcher Development: Assist with mentoring
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this role, please contact Ellen Moon, Associate Professor via [email protected] For a copy of the position description, please see below: Associate Research Fellow_Minerals Processing.pdf Applications
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experience, in laboratory-based or hardware-based testing, validation or prototyping of simulation, robotic, AI or battery-related systems. Ability to work effectively both independently and as part of a
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, or the capacity to develop experience, in laboratory-based or hardware-based testing, validation or prototyping of simulation, robotic, AI or battery-related systems. Ability to work effectively both independently
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Alison Hutchinson - Deakin Distinguished Professor and Chair in Nursing, Barwon Health, School of Nursing & Midwifery on [email protected] For a copy of the position description, please see
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and a separate document addressing the skills and experience listed in the Position Description. A copy of the Position Description can be found on JOBS@UNSW . Contact Frank McHenry, Talent Acquisition