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rural, regional and remote Australia using allied telehealth Base Salary starting from $ 118, 390 + 17% superannuation (Pro Rata) About the opportunity The Faculty of Health Sciences is the largest health
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platforms for the Jericho Smart Sensing Laboratory (JSSL) project on Radio Frequency Shaping and Sensing (RFSS). Utilising both your technical expertise and time management skills, you will collaborate with
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distributed across far west, north and south west regions of NSW. Travel to rural and remote communities located within the FWLHD and UDRH catchment will be required. About you PHD in relevant Health discipline
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computational imaging devices and algorithms. This project will offer dramatic improvements in sensing robustness and performance, and geometric and textural accuracy in drone-based 3D asset inspection. In
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, electrolyser engineering, and green hydrogen production. You will be given the opportunity to work collaboratively with a motivated team of early career researchers and PhDs on water electrolysis. Within
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level and research publications in her/his own area of specialty. Researchers in the field of Korean Studies with a relevant PhD in Humanities and Social Sciences are encouraged to apply. Candidates with
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an understanding of other disciplines and inter-professionalism live in the Northern Rivers or willingness to move to the region commitment to travel as required and be on-site (this is not a remote working position
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looking for a Postdoctoral Research Associate in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality
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diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for an outstanding senior academic who has: a PhD or equivalent in livestock
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Lecturer who has: a PhD or other research doctorate in a relevant field demonstrated ability in developing, delivering and evaluating interdisciplinary courses using lectures/workshops/mixed-modes teaching