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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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PRIMARY DETAIL • Salary package: $106,089 (Level A.6 - PhD) to $113,697 p.a., plus 17% employer’s superannuation and annual leave loading. • Appointment Type: Full-time, fixed Term for two years
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and feedback. The successful applicant will work on designing and developing an architecture for modelling and simulating aggregated entity behaviours, in an event driven architecture paradigm, under
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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– $113,262 p.a. plus 17% super (PhD entry level $105,518 p.a.) Join a cross-disciplinary team investigating the relationship between bacteria and dinoflagellate algae, critical to coral reef health Work across
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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– $113,262 p.a. plus 17% super (PhD entry level $105,518 p.a.) Join a cross-disciplinary team investigating the relationship between bacteria and dinoflagellate algae, critical to coral reef health Work across
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- $116,094 p.a plus 17% super (PhD entry Level - $108,156 p.a.) Join a cross-disciplinary team investigating the relationship between bacteria and dinoflagellate algae, critical to coral reef health Work
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in public health (epidemiology