25 parallel-computing-numerical-methods Fellowship research jobs at Monash University in Australia
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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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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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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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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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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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and beyond. About You We're seeking a passionate individual who thrives both independently in a research environment and as a collaborative member of the History program. As the successful candidate you
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to implement these new methods Lead and contribute to high-quality research publications Engage with interdisciplinary teams and stakeholders Contribute to mentoring, proposal development, and capacity building
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer