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Drive real-world impact in rural cancer prevention. Collaborate with communities to co-design meaningful health solutions. Grow your research career in a supportive, purpose-driven environment
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Employee Network We strongly encourage Aboriginal and Torres Strait islander people to apply. Why your role matters The Culturally Nourishing Schooling (CNS) project is a collaborative initiative between
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Lead impactful, applied research projects at CSI UWA, leveraging advanced quantitative and analytical skills while shaping research programs and securing competitive funding in a collaborative, high
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, you will: Support survey instrument design, testing and implementation Undertake data collection, cleaning, coding and analysis, including comparative analysis Assist with communicating results to a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
a collaborative and research-focused environment. Innovation: Help drive the advancement of national research infrastructure and digital methods. Position overview We are interested in candidates with
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electromagnetics or antenna design, Experience at mmWave, Experience designing phased arrays, you understand beamforming, polarization, mutual coupling, element performance and can help make smart system level trade
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satisfaction. Why Join Us – Centre for Crop Disease Management (CCDM): Opportunity to inform sensor design specifications for the next generation of hyperspectral satellites for applications Help engineer
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, assist with evaluation of implementation fidelity and quality improvement project outcomes, and develop and promulgate tools for PREM scaling. The Implementation Scientist will work with expert advisory
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implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based approaches. Proven ability to design and run rigorous experimental frameworks, including
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projects, teams, or collaborations, with measurable outcomes. Strong record of publications or equivalent applied research outputs in AI/ML or computer vision. Experience translating AI/ML research into real