257 parallel-computing-numerical-methods positions at University of Sydney in Australia
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advanced statistical methods and software, they source, prepare, and analyse complex datasets to inform decision-making and drive organisational performance. They lead evaluation projects, develop tailored
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develop an independent research program and engage in collaborations within and outside the University, including with industry partners. You will contribute to curriculum development and delivery at both
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responsibilities will be to: Ensure the accurate implementation of research protocols, ensuring timely execution of research activities Prepare interview transcripts for analysis within NVivo or similar program Use
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imaging technologies. Our research portfolio spans development of new treatment ideas, clinical trials, preclinical imaging, device development, MRI-Physics, radiation therapy physics, and computational
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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are adhered to. support running of the Aboriginal Reference Group engage with included Aboriginal communities and conduct and/or contribute to data collection using culturally appropriate methods engage with
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understanding of the models of care for people with eating disorders. Skilled in qualitative research methods and data analysis tools, with experience conducting interviews with people with eating disorders
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teaching experience a proven record of curriculum innovation, learning design, and the use of digital and experiential teaching methods evidence of educational leadership and impact, such as program
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automated tools alongside fundamental legal reasoning Evaluate teaching and learning effectiveness for continuous improvement, using evidence-informed methods and feedback Build and maintain relationships