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in operation of dilution refrigerators and related infrastructure. A developing reputation and track record of publications in reputed refereed journals and presenting at conferences. Evidence of
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sciences, epidemiology, psychology, sociology). Evidence of a strong track record of research outputs in high-quality, peer-reviewed journals/outlets relevant to the discipline. Demonstrated impact and
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the discipline area. A developing reputation and track record of publications in reputed refereed journals and presenting at conferences. Evidence of successfully seeking, obtaining and managing external research
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mineral physics/petrophysics. Experience in mineral system science and/or geophysical modelling. A proven track record in research publication. Desirable: Experience with manipulation and analysis of large
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microfluidics is highly desirable. An emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications
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track record of industry engagement and method development If you need additional information about the role, please contact Prof William Rickard (JdLC Director) at: w.rickard@curtin.edu.au Role
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. Experience in procurement, installation, and operation of dilution refrigerators and related infrastructure for solid-state quantum computing experiments. An established track record of supervision of Honours
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area of expertise. You may be a great fit if: You are a passionate researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track
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objectives and industry needs. Contribute to high-quality research outputs, with an expectation to publish in relevant academic venues. The ideal candidate will have: A strong background in mathematical
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are looking for an early career academic with a strong foundation in statistics, data science or a related discipline, combined with advanced computational skills. With a growing publication track record and a