14 data-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" research jobs at Macquarie University in Australia
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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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helps companies, governments, and not-for-profits transform the sectors they operate within, for public good. Our research focuses on areas including: Health and social care Sustainability Data and
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us today . Selection Criteria Applications will be evaluated on the following criteria (please see the Funding Guidelines for full information): APPLICANT (35%) ALIGNMENT WITH MACQUARIE UNIVERSITY’S
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the Australian Higher Education sector. Selection Criteria Applications will be evaluated on the following criteria (please see the Funding Guidelines for full information): APPLICANT (35%) ALIGNMENT WITH
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for full information): APPLICANT (35%) ALIGNMENT WITH MACQUARIE UNIVERSITY’S STRATEGIC RESEARCH INITIATIVES (20%) BENEFIT (10%) PROJECT (TOTAL 35%) • Project quality and innovation (15%) • Feasibility (10
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theoretical models of dense laser plasmas and laser-matter interactions with respect to obtained experimental data. Advise the industry partner (HB11 Energy), identify perspective scientific directions and
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. Collaborate with national and international partners, in particular with colleagues at NAOJ, on instrumentation and data integration. Conduct simulations and field tests to validate system performance
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change. The role involves experimental research, data analysis, publication of findings, and collaboration within a multidisciplinary team. Reporting to the Associate Professor Fleur Ponton
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and will be able and actively participate in group analysis work and laboratory activities. You will also have knowledge of and be competent in the MS Office Suite, image analysis software, and data
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is an inclusive community in scientific collaboration. Mathematics and statistics drive breakthroughs in technology and data science, while physics and astronomy seek to understand matter and the