53 electrical-machine-"https:"-"https:"-"https:"-"https:" ";" Postdoctoral positions in Australia
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Postdoctoral Research Associate - Radio Frequency Fingerprinting using Machine Learning Employer UNIVERSITY OF SYDNEY Location Sydney, Australia Salary $93,424 - $125,896 + 17% superannuation Closing
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Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $93,424 - $125,896 + 17% superannuation About the opportunity The School of Electrical and
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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 30 days ago
plus 17% super Closing date 18 Oct 2026 View more categories View less categories Academic Discipline Engineering & Technology , Electrical & Electronic Engineering , Chemical Engineering Job Type
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to end of March 2029 Base salary will be
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development of novel welfare technologies alongside industry partners Ace Aquatec. This post will validate a novel batch electrical stunner for Pacific whiteleg shrimp, rainbow trout and carp
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the State or enrolled at one of their universities. For information consult the following: https://www.gwnsw.org.au http://www.afuwsa-trust.com.au/postgraduate-scholarships/ http://gwq.org.au/awards
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126