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of 17% superannuation applies. Fixed term part-time (0.8 FTE) position for 1 year. This position will anchor the Institute for International Trade’s (IIT) trade and environment research programme thereby
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Application Deadline 6 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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, and computational physics. We engage with industry, hospitals, international collaborators and universities to forge relationships that help take our projects from lab bench to patient bedside. Here
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industry project, within our established research program in applied AI. You will work on shaping, developing, and evaluating a cutting-edge AI platform that enhances clinical decision-making. The research
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
programme proposed for the Discovery project. This will be done in collaboration with the three chief investigators (named above) and a range of Australian and international collaborators. The project centres
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well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics
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references) as part of the application process. Essential criteria: A Bachelor’s or Master’s in molecular biology, cell biology or related disciplines, and experience conducting research. Proficiency with
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Deadline 5 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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will streamline how experts and stakeholders process, interpret and access complex, high‑volume information, and unlock new capabilities in modelling, data integration and knowledge retrieval for current