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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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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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characterisation methods and systems. Investigation of losses in silicon-based photovoltaic devices. Demonstrated track record of publications and conference presentations relative to opportunity. Demonstrated
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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practice. For at least the first three years, the appointee will lead and undertake a dynamic program of action research, centred on the curation and application of high-quality, evidence-based research from
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months 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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
emerging technologies and design methods and understand how they can support high quality HASS research. Advocacy: Provide a voice for HASS colleagues of all disciplines in shaping the HDRH, and ensure
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many-body methods for multi-valence-electron atoms, with a focus on transition metals of interest for spin-crossover metal-organic frameworks (MOFs). The applicant will be involved in the development
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University. Located within the School of Art and Design, the Design program combines contemporary design methods and digital technologies with hands-on making. It prepares graduates who are skilled, inventive
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead