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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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“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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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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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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insights, building digital tools that improve care, and embedding smart research infrastructure directly into the electronic medical record (EMR). Working closely with Prof Ary Serpa Neto, Austin Health’s
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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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will have: A PhD (or equivalent experience) in medicinal or synthetic chemistry Strong hands‑on laboratory experience in synthetic organic or medicinal chemistry Excellent analytical, organisational, and
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hold a PhD in chemical biology or a related life sciences discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete listing
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. The successful candidate will hold a PhD in organic or medicinal chemistry discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete