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Field
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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/seminars and lectures, presentations at conferences, communication to non-technical audiences. Software engineering expertise, including implementation of Large Language Models methods (including execution
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
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develop. The Research Assistant may be required to supervise research students at undergraduate, Masters and PhD levels. To be successful in this position, you will have: PhD in physics or related
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researcher with a Doctorate in a relevant discipline, skilled in both quantitative and qualitative methods. You collaborate effectively, producing high-quality, publishable work while managing priorities
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provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and
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we are looking for (Selection Criteria): Essential: A PhD (or near completion) in geochemistry, geology, data science or a related discipline. Demonstrated knowledge of, or strong interest in critical
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, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. High level of communication skills. Mandatory Qualifications: PhD
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technologies, with a specific focus on electrode/electrolyte interface studies for secondary batteries. The successful candidate will have recently completed, or be nearing completion of, a PhD in a relevant
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Qualifications: PhD Qualification in the relevant discipline area. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the RMIT School