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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
-supervision at MPhil and PhD levels. The Research Fellow will participate in industry and open-source projects alongside academic colleagues in the CIICADA Lab. They will engage in joint research with chief
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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 position within
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the academic promotions process. About You Completed PhD (or equivalent experience) in Mechanical Engineering, with an established profile and over 10 years of professional experience in mechanical or opto
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. Responsibilities will include contributing to student mentorship at undergraduate and master's levels and co-supervision at MPhil and PhD levels. The Research Fellow will participate in industry and open-source
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record
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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in human-centred AI
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PRIMARY DETAIL - Salary Package: $109,272 (Level A, Step 6 - PhD awarded rate) p.a., plus 17% employer's superannuation and annual leave loading - Appointment Type: Full-time (35 hours per week
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opportunities via the academic promotions process. About You PhD (or near completion) in coral reef ecology, ideally focused on coral species distributions or coral reproductive biology, including fertilisation