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priority research themes that address strategic issues of mutual interest, including: Advanced computation in science and engineering; Advanced materials and manufacturing; Energy and environment; Future
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discover them The Opportunity The Faculty of Information Technology is seeking a Research Fellow to advance cutting‑edge research in neuro‑symbolic artificial intelligence within the Department of Data
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advanced technology to advance the discipline of immunology, to discover new treatment options for immune-related diseases and to continue to be a centre for the training of tomorrow's discipline leaders
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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sensing technologies. Working at the intersection of engineering innovation and applied research, you will play a key role in advancing sensor performance through hands-on experimentation, technical design
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sensors The successful candidate will work within a collaborative research environment and contribute to advancing innovative radar sensing technologies. About Monash University At Monash , work feels
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. In more recent times, we see electronic intelligence showing increasingly rapid advances, with examples including (e.g.) easily accessible, free, rapid and often somewhat reliable language translation
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multi-organ-on-a-chip platform. Leveraging advanced microfluidics, live-cell imaging, and integrated biosensing technologies, you will help generate multi-parametric insights into barrier integrity
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design, advanced laboratory work, and biosensor testing. Developing wearable biosensing technologies, particularly microneedle‑based systems. Contributing to the academic environment through publications
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them The Opportunity Join Monash University, a global leader in advanced electron microscopy and materials research. Based at the Clayton campus, this role is an exceptional opportunity to conduct