16 image-processing-phd Fellowship research jobs at University of Adelaide in Australia
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, epigenetics, development, and cell biology to lead and contribute to cutting-edge research. To be successful you will need: A PhD in Cell Biology, Molecular Biology, Genetics, Biochemistry, or a related area
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need: A PhD in epidemiology, public health, medical sciences or other areas relevant to primary health care Demonstrated experience contributing to the coordination of quantitative health research
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language processing
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will need: A PhD or equivalent in stochastic modelling, data science, network analysis, statistics, or related discipline Is eligible to apply for an Australian Government security clearance. Research
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to contribute to the development of management strategies for these pests. The ideal candidates will have a PhD in agricultural entomology or closely related field and interest in advancing knowledge that will
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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an impactful career in quantum technology within a world-leading research institution. To be successful at Level A you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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to lead to improved predictive design of biomass crops for the production of sustainable aviation fuel. The postdoc will also co-supervise PhD students and Honours students. To be successful you will need