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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
5 Sep 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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(R3) Country Australia Application Deadline 5 Oct 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
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Application Deadline 6 Oct 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 the Job related to staff
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characterisations using impactors and liquid chromatography Strong planning, organisation, and computer literacy skills, with the ability to manage research projects and competing priorities effectively. Excellent
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning algorithm for photovoltaic applications and utilising them for the investigation
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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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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 days ago
play a key role in the design, development, evaluation, and implementation of an innovative online interactive training course that supports the Volunteer Dementia and Delirium Care Program. This MRFF
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training course that supports the Volunteer Dementia and Delirium Care Program. This MRFF-funded project responds to urgent calls from consumers, volunteers, hospitals, and government partners to improve
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of pre-existing and new eDNA metabarcoding datasets obtained in Australian coastal waters. Co-develop a new computational tool and/or indices for detecting early signals of marine ecosystem change. Lead