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development, calibration, and coding of a constitutive model to reflect uncemented carbonate sand behaviour, including cyclic loading and particle breakage effects, for use in numerical modelling. Collaborate
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geotechnics, at the forefront of research in offshore renewables. About the opportunity Lead the development, calibration, and coding of a constitutive model to reflect uncemented carbonate sand behaviour
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such as quasi-normal modes. You will lead the development of modelling codes and have primary responsibility for at least one project within the broader research program. Additionally you will contribute
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writing C++ backend code, improving deployment on large-scale infrastructure, and implementing new features such as time-domain and Virtual Observatory functionality. Collaborate with international teams
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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to the project as required. Assist with the supervision of research students in the research area where required. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all health and
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support from supervisor. Assist with lab management including instrument maintenance, trouble shooting and contacting service providers when required. Align with and actively demonstrate the Code of Conduct
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Values in Action: Our Behaviours and the UNSW Code of Conduct. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions
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control Follow best practice for coding conventions and code documentation Engage with A Two-Way Learning Panel throughout the project to enable Indigenous capacity-building, ensure cultural sensitivity
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geoenvironmental test work approaches and new or emerging technologies/techniques in this area Data science experience (including programming/coding) is desirable Industry experience or placements in the minerals