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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 days ago
curiosity into ideas that have shaped Australia and our region. Learn more about ANU, our history and the community that has shaped us: ANU at 80 The Australian National University is seeking a motivated
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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Assistant Professor Clara Ferreira’s research group, funded by a BBSRC New Investigator award, joining two PhD students and an RA, and working in close collaboration with Associate Professor Wolf Huetteroth's
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relevant PhD (or equivalent qualification/experience) awarded prior to commencing the appointment Ability to develop a coherent world-leading research programme Ability to plan and build a team and deliver
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to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: A relevant PhD (or equivalent qualification
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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viewing UQ’s Criteria for Academic Performance . About You Completion or near completion of a PhD in medicine, public health, rural health, or a related health discipline. Demonstrated experience leading
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and experience | Kā pūkeka me kā wheako The successful candidate will have: • A PhD in Physics. • Extensive experience with experimental atomic and optical physics, including experience with laser
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi