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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
, including of heavy industry in Australia, working collaboratively with other researchers. Methods are broadly in the field of social sciences, including economics, market modelling and public policy analysis
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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, you’ll have / you’ll have as a minimum: Essential Extensive lab experience in nanobiotechnology or a related field, ideally working with self-assembled proteins/peptides and/or lipids (model cell membranes
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Researcher Development: Supervise students, model responsible research conduct, build researcher capability, facilitate engagement for supervisees, recruit and manage employees, provide performance feedback
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 28 days ago
, including of heavy industry in Australia, working collaboratively with other researchers. Methods are broadly in the field of social sciences, including economics, market modelling and public policy analysis
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the field of social sciences, including economics, market modelling and public policy analysis. For further information please contact Dr Jorrit Gosens, E: jorrit.gosens@anu.edu.au . ANU values diversity and
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protocol development, psychotherapy coordination, database design and participant engagement strategies. This position sits within a collaborative team of neuroimagers, modellers, psychedelic-based
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Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning approaches
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at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT’s Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning
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health lens to addressing hearing loss in adults. This program aims to reshape how hearing care is viewed and delivered—shifting from a specialist-driven, clinic-based model to a more accessible