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these studies will be integrated into a unified hydration classification framework. The candidate will contribute to the development of statistical and analytical approaches, including multivariate modelling and
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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their presence. Stealth Integrated Sensing and Communications (Stealth-ISAC) Unmanned aerial vehicles (UAVs) will become critical assets in future warfare, as evidenced by their extensive deployment in the current
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PhD Scholarship This project aims to develop next‑generation zwitterionic ionizable lipids (ZILs) to enhance the delivery, safety, and tissue targeting of RNA therapeutics beyond the liver. The candidate will join a multidisciplinary team investigating how lipid chemistry, nanoparticle...
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Centre for Health Economics, Monash Business School, Integrated PhD Program 2027 Fully Funded 4.5-Year PhD in Health Economics - Monash University (Melbourne, Australia) Job no.: 625101 Location
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into current experiences and desires in how digital technologies integrate into their experience of environmental navigation. The successful applicant will join a research team that is exploring wider issues
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integrating multiomics data from patient biopsies, cerebrospinal fluid (CSF), blood samples, and patient-derived xenograft (PDX) models. By combining these datasets with advanced artificial intelligence
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consultation through note review and sign-off to referrals, follow-up, and patient communication. Findings will inform the safe, sustainable adoption and integration of AI technologies in health services
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involve device design and microfabrication, functional material/interface engineering, and integration and testing of sensors in wearable or implantable formats.
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PhD candidate will be integrated into an established research program funded by the Australian Research Council, with access to a large longitudinal dataset and to funding for qualitative fieldwork