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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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Research Fellow - Quantum Control and Quantum Computing Job No.: 667644 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $114,951 - $136,505
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at the interface of quantum chemistry, artificial intelligence (AI), and drug discovery. The Research Fellow will be part of a world-class team recognised with prestigious honours including the Gordon Bell Prize and
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Research Fellow, Systems and Computational Neuroscience Job No.: 676758 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $80,464 - $109,203
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to leading-edge research in theoretical condensed matter physics, with a strong focus on correlated quantum phenomena the following areas: Ultracold atomic gases Light-matter systems As a Research Fellow, you
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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, to undertake further research leading to high-quality publications and conference outputs.The position involves active participation in academic events, limited administrative duties, occasional teaching
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key role in a collaborative, multidisciplinary team committed to advancing our understanding of brain function through high-quality and innovative research. This position will contribute to exciting
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data