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tasks. As imaging sessions take place in the evening, some work outside regular hours will be required. The remaining 40% of your role will involve research and professional development. You will have the
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applications Ability to work collaboratively in an interdisciplinary team environment Further information about this role can be found in the attached position description. Qualifications PhD in Chemistry
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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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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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alternatives, the FPGA technology will be leveraged to achieve a larger processing and memory bandwidth when working with large aperture arrays. The project will be a pathfinder for fast, all-sky imaging with
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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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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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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
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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