23 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Macquarie University in Australia
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arguments. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://mq.wd3.myworkdayjobs.com/CareersatMQ/job/Wallumattagal-Campus-North-Ryde/Research
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in the fields of synthetic biology, photonics, and quantum technologies. More details about the SiP Lab can be found at: https://www.mq.edu.au/faculty-of-science-and-engineering/our-research/silicon
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, empowerment, and integrity to apply. Learn more about our progress towards Equity, Diversity, and Inclusion. https://staff.mq.edu.au/work/diversity-and-community If you're already part of the Macquarie Group
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track record of developing and deploying state-of-the-art AI solutions. CHI is a research centre that drives digital health forward and shapes the future of AI in healthcare. https://www.mq.edu.au/__data
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, you'll work at the intersection of science, business, and law — assessing the commercial potential of university-generated IP, structuring deals, engaging with investors and industry partners, and helping
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courses, structured programs and communities of practice — that build academic capability in learning, teaching and assessment. Facilitating professional learning activities for academic staff across
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attention to detail and record-keeping capability A demonstrated ability to interpret policies and follow structured processes A commitment to high-quality service and stakeholder engagement Experience in
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rapidly evolving landscape shaped by shifting government policy settings, changes to onshore agent commission structures, and growing demand for direct, student-facing engagement, this role is central to
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- Location: Macquarie University, Wallumattagal Campus (North Ryde) Join a multi-disciplinary team pushing the boundaries of microbial membrane transport protein structure & function. Collaborate with world
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visualisation. Working knowledge of data structures and data management principles, including data cleansing and validation. Proven experience using SQL to query and manipulate data from relational databases