183 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" Fellowship positions in Australia
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coherent research program and emerging research profile, using best-practice methodologies. 2. Supervision and Researcher Development Supervise Honours and HDR students and support researcher development
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neuroscience research environments, embedded within the Alfred Research Alliance and closely connected to leading clinical services. About the Role As a key member of our neurorehabilitation research program
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closely with researchers across the School of the Environment, the Joint Remote Sensing Research Program (JRSRP), and DETSI teams including the Queensland Herbarium and Biodiversity Science (QHBS) and Earth
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a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies, and participate in project
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Environment Program investigates how environmental exposures affect child health, with a strong focus on real-world, community-based research. The program works across established cohorts and new field studies
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teaching, hands-on experiences, industry placements and research at JCU in the areas of Marine Biology & Aquaculture, Zoology and Ecology, Earth and Environmental Sciences, Information Technology, Physical
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conditions set forth by your Visa. Your proposed research program must closely align with at least one of the Macquarie University Strategic Research Initiatives. Please see the Funding Guidelines in
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options and flexible start/finish times, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in plant
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and conduct experiments, operate specialised equipment, develop and implement experimental procedures, and support project delivery through effective scheduling and computational analysis. This role
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable