126 parallel-computing-numerical-methods positions at University of Sydney in Australia
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Research Associate in Child Psychology with specific skills in digital mental health and measurement to manage the Growing Minds Check-In (GMCI) program of research, a Flagship Trial of the Growing Minds
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of Project Management, but will work closely with interdisciplinary teams across the Management and Organisation Sciences, Social Sciences, Urban Studies, Engineering, and Computer Science to advance research
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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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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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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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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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and strategic thinking skills accuracy and attention to detail an entrepreneurial spirit who can think big picture but also pivot at a moment’s notice with a calm and methodical approach About us The
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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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: 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