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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based
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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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, biologists, and clinicians. Key responsibilities will include: Research: Develop nanomaterial-based technologies for molecular detection and cell analysis. Integrate biosensing components (e.g., optical
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. About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary
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, disseminate knowledge, engage with stakeholders, and make a lasting impact in their expertise. Application process Have not previously received the named scholarship Current full-time or part-time student
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for Academic Performance . About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where
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Overview: Part-time 0.7, Fixed Term position for three years Salary Academic Level A/B + 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD campus About You The
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a
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. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the opportunity to work
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optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a collaborative and forward-thinking research team working across decision and control theory