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Field
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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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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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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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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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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, focus groups and surveys Interview and focus group coding Qualitative and quantitative data analysis Project partner engagement and communication, and Project management tasks including reporting
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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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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
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B