11 data-"https:"-"https:"-"https:"-"https:"-"LaTIM---Brest" Fellowship positions at Macquarie University in Australia
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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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and consumer focus groups, collecting, maintaining and analysing qualitative and quantitative data and contributing to dissemination of research findings (including publications). About The School
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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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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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hearing loss through data-driven policy, service innovation, and community-based interventions. You will work closely with leading researchers and partners to generate evidence that informs policy, practice
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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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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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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
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of these publications and your part in these. Selection Criteria: Essential PHD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial