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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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models Applying imaging modalities to support drug distribution and efficacy studies Collaborating with national partners across a multidisciplinary research network This position offers a unique
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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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Demonstrated awareness of confidentiality and responsible data handling Experience in cell signalling, cellular imaging or mouse models of cancer will be highly regarded. About the Institute and Department
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brain state, maintain barrier integrity, and contribute to neurological disease, including brain cancer and stroke. The lab integrates advanced imaging, omics approaches, mouse genetics and flow cytometry
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“Revealing Order in Organic Semiconductors with Cryo-Electron Microscopy.” The successful candidate will apply and develop advanced cryo-electron diffraction and imaging methods to uncover structure–property
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producing publications, conference papers, and seminar presentations. The post-doctoral fellow will support academics on the Australian Research Council Discovery Project, “Macroeconomic Analysis
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. Excellent written and verbal communication skills are essential, as is a collegiate approach to working with others. You will also have advanced computer skills, including experience with Microsoft Word
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a motivated Level A Research Fellow for a 2 year research-only appointment. A Level
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experts, clinicians, policymakers and consumer representatives, the Research Fellow will contribute to the design and delivery of innovative “living” evidence processes. This includes surveillance of new