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opportunity to translate your computational results to practical design, engineering and structural and functional characterisation of the novel nanoparticles for applications in biomedicine. About You You will
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& Social Context (DSC) brings together creative and practical study in the fields of design, technology and society. Comprised of nine schools, the College encompasses a wide variety of disciplines
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Apply now Job no:576217 Work type:Full-time Location:Geelong - Waurn Ponds Categories:Research, Engineering Based at our Geelong, Waurn Ponds Campus + hybrid work arrangements 3 x Full-time and
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such as supply chains, trade policy, technology competition, export controls, etc.) 5+ years experience with policymaking or policy analysis in Australia Experience working with the United States, Japan and
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with colleagues in the development of joint research projects and applications for competitive research funding support; Contribute to progressing towards transfer of knowledge, technology and practices
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
technology applications. It is expected that the selected candidate will collaboratively work together with crystallographers, materials chemists and physicists, electron microscopists, computational
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statistical, Bayesian, and deep-learning approaches. Lead improvements in data quality, integration, and reproducibility across multi-centre trials and registries. Collaborate with leading clinicians, engineers
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, engineering and structural and functional characterisation of the novel nanoparticles for applications in biomedicine. About You You will have a PhD and, ideally, a postdoctoral experience in computational
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design, engineering and structural and functional characterisation of the novel nanoparticles for applications in biomedicine. About You You will have a PhD and, ideally, a postdoctoral experience in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
candidate will have: Strong skills in data science, user experience design, and/or web development, with the ability to apply human-centred computing/engineering methods to digital health. Experience in