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and ensures integration across themes. Produce high‑quality, high‑impact research and secure funding that strengthens UTAS’s leadership at the nature‑economy interface. Senior: Publishes research
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priorities and ensures integration across themes. Produce high‑quality, high‑impact research and secure funding that strengthens UTAS’s leadership at the nature‑economy interface. Senior: Publishes research
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to criminology and the criminal legal system Forensic psychology and its interface with the law Youth Justice Case management Ethics and accountability Cyber law and policy Teaching at undergraduate
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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high-impact research at the interface of seafood safety, regulation, and public health Full time, ongoing role based in Hobart About the opportunity This is a senior, research-intensive position within
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will work as part of a collaborative team, working closely with fellow postdoctoral researchers and PhD candidates across ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS) and other
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will likely have the following skills and experience: A PhD or master’s degree (or commensurate qualification/research experience) in Computer Science, Data Science, Forensic Science, Electrical
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interfaces set optical loss - Fabrication of waveguides and ring resonators from these glass layers - Optical characterisation of loss, scattering and resonator finesse A core part of this role will involve
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to meet deadlines and effectively manage varying workloads and respond to changing priorities as required Demonstrated high level of communication skills Demonstrated hands-on experience in interface