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experience in superconducting qubit measurements or relevant quantum sensors, cryogenic instrumentation, nanofabrication or particle/radiation detection strong research, planning, and organisational skills
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near completion) in experimental physics or a related field experience in superconducting qubit measurements or relevant quantum sensors, cryogenic instrumentation, nanofabrication or particle/radiation
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of synthesis of fluorophores and responsive fluorescent sensors and applying them in biological studies. This project is funded by a grant from the Australian Research Council, and will involve collaboration
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research teams an emerging network of academic, industry or professional collaborators To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all
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with evidence of scholarly publications experience working collaboratively within academic or industry‑engaged research teams an emerging network of academic, industry or professional collaborators
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
, Wallumattagal Campus, North Ryde Collaborate with leading researchers and build your academic networks. About the Role We are seeking a Postdoctoral Research Associate in Exoplanet Science at Macquarie University
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experimental or functional validation demonstrated experience in protein-centric analyses, including protein interaction networks, signalling pathway modelling, proteomics or protein target screening background
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methods (for example, learning-based, network-based, or agent-based approaches) to analyse dynamic decision behaviour, rather than focusing solely on predictive or optimisation performance prepare and
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-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative methods (for example, learning-based, network-based, or agent-based approaches