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of Project Management, but will work closely with interdisciplinary teams across the Management and Organisation Sciences, Social Sciences, Urban Studies, Engineering, and Computer Science to advance research
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) Country Australia Application Deadline 24 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here . We are a recipient
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
on developing new methods, whether experimental, analytical, or computational. The Experimental Petrology group at RSES is a world-leader in high pressure experimental petrology and the application of cutting
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damage in composite repairs due to environmental degradation and mechanical loading. This research requires deep understanding of analytical and experimental ultrasonic NDT methods, demonstrated knowledge
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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demonstrate the applicability of suction embedded plate anchors in a wide range of seabed types relevant to floating offshore wind developments both in Australia and globally Numerical developments and physical
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in relevant scientific/research methods, techniques and protocols. Practical lab experience and familiarity with electrochemical or metallurgical processes will be highly regarded. Demonstrated
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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programming (R or Stata preferred), and scientific computing Excellent problem-solving, planning and written communication skills Experience working with health-related data and modelling methods A