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Full time fixed term 2-year position Work within a major industry‑backed, multidisciplinary research partnership developing cutting‑edge metal composite coatings for extreme industrial environments
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) within the School of Public Health and Preventive Medicine at the Alfred campus. We are seeking an outstanding Level B Research Fellow to join a dynamic, multidisciplinary team leading the development
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. The Research Fellow will contribute to the development of an implementation science evidence-base to support the transferability of this learning for adaptation to other settings. The successful applicant would
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zero 2050 targets. Advance national building energy tools, developing HVAC sizing methods within AccuRate and AccuRate Home for NatHERS. Work on applied, real‑world modelling that directly informs
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partners—gaining rare access to real‑world expertise in online scams, identity security and cybercrime. In this role, you’ll also support contract research, contribute to competitive grant development, and
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Develop innovative miRNA‑based diagnostics to strengthen Australia’s plant biosecurity
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
supervision, publication and publicity activities, code development, and collaboration with industry, open source, and academic partners. The project goal is to develop and demonstrate a stochastic design
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of immunotherapy and therapeutic development. In this role, you will drive original research in immunotherapy and biotherapeutics, contributing to the design, development and translation of next-generation
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ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast