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to leverage machine learning approaches for the optimization of polymer properties and degradation profiles. The successful candidate will lead pioneering research in controlled polymer synthesis, employing
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artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling
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website to learn more about the Andy Thomas Centre for Space Resources. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and
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disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about the School click here We are currently seeking a
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at UNSW Medicine. The role of Post Doctoral Fellow reports to the co-leads of the Group and has no direct reports. Some key skills required: A PhD in a highly quantitative discipline, featuring advanced
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PRIMARY DETAIL • Salary Package: $109,272 – $117,108 per annum ((Level A.6–A.8, PhD Awarded Rate), or a higher salary may be considered for candidates with significant relevant experience, plus 17
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PRIMARY DETAIL - Salary Package: $109,272 – $117,108 per annum ((Level A.6–A.8, PhD Awarded Rate), plus 17% employer's superannuation and annual leave loading. - Appointment Type: Full-time, fixed
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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
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are looking for candidates who are passionate about applying research to industrial challenges. You will have: Essential: A PhD in materials science, mechanical engineering, manufacturing engineering, or a
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. To learn more about the School of Physics, click here About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the