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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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the Addiction & Impulsivity Research Lab and the Computational & Systems Neuroscience Lab . You will be part of a collaborative environment that integrates expertise in psychology, neuroscience and computational
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behaviour of limit cycles in planar polynomial vector fields, and/or exploring relative equilibria in gravitational systems. You will advance both theoretical and computational methods and play an integral
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Study lipid–protein–polysaccharide interfaces in complex biological media Conduct research involving cell culture, bacteriology, and compositional analysis Develop and optimise equipment and methods
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interdisciplinary collaboration. You will have experience in qualitative and/or quantitative research methods, and be familiar with international policy frameworks such as the Buildings Breakthrough Agenda. As a
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senior academics, you will: Undertake data collection, management, and analysis using both quantitative and qualitative methods. Support systematic reviews, including literature searches, eligibility
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is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash
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to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash University At Monash , work