45 phd-in-embedded-system-"Meta" Fellowship research jobs at Monash University in Australia
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Research Fellow in Dynamical Systems Job No.: 683312 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A (plus 17
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Research Fellow in Earth System modelling Job No.: 682250 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based
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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 science
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. This role is based at our Alfred Hospital Campus, embedded in a thriving network of public health and research excellence. Learn more: https://www.monash.edu/medicine/sphpm/divisions/health-systems
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extraordinary ideas - and the people who discover them The Opportunity The Level A Research Fellow is responsible for advancing the research objectives of the University by contributing to defined research
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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discover them The Opportunity Monash University is seeking an outstanding and motivated Research Fellow to join the School of Physics and Astronomy. This position offers an exciting opportunity to contribute
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Econometrics and Business Statistics at Monash University is globally recognised for its excellence in research and teaching. Our department is a leader in developing cutting-edge methodologies in econometrics