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consideration will be given if you are experiencing other forms of educational disadvantage such as being a recent refugee, live in a low socio-economic, regional or remote area, attend an under-represented
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opportunity to join MTI and utilise state-of-the-art assessment/quantification techniques - modelling and analysis, measurement, instrumentation and data acquisition, remote sensing. With state-of-the-art
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for Indigenous clinicians and health students undertaking placements across rural and remote southern Queensland. In this role, you will: Identify education and training needs for Aboriginal and/or Torres Strait
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Accommodation and Hospitality Attendant - Boolardy Facility Murchison (Identified Role - Indigenous)
in our activities and programs. View our Child Safe Policy . The opportunity Are you looking for a steady job in a remote area, with travel covered and time at home in between? Use your hands-on skills
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Administration support, Clinical/Medical Research, Healthcare, Indigenous *Identified position - role can be done in Sydney or remote NSW - regular travel to community involved. Whilst the role is ideally full
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coastal lifestyle with access to the Great Barrier Reef, Magnetic Island, and lush hinterlands, all while working in a vibrant academic and healthcare hub. With affordable living, a strong sense of
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Centre Mentor Commences: October 2025 Contract type/hours: Casual Location: Remote (with the exception of occasional in-person team and professional development days) Remuneration: Casual HEW 3 ($44.04
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, and the ability to become familiar with use of other software and systems. Ability to manage shifting priorities, support multiple sites remotely, and respond quickly to changing operational needs
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sites, field surveys and remote-sensing techniques such as drones and satellites. TERN shares this data to enable Australia’s world-leading research on climate change, biodiversity, water and soil. TERN
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questions; Describe how you have applied data science, statistical modelling and machine learning to complex data sets? How have you used GIS, remote sensing data or computer vision techniques to support