19 post-doc-image-engineering-computer-vision Fellowship research jobs at Australian National University in Australia
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to this project. The ideal candidate will have: Strong skills in data science, user experience design, and/or web development, with the ability to apply human-centred computing/engineering methods to digital health
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Position overview This fixed-term position will be based at the School of Art and Design, working in close collaboration with the School of Engineering, the Fenner School of Environment and Society, and the
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, School of Cybernetics, and School of Engineering, supported by the Professional Services Group. School of Computing - The School of Computing has a strong foundation in computing and information sciences
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investigating the regulation of RNA-mediate gene interactions, with the aim of uncovering fundamental post-transcriptional regulatory codes and generating experimentally testable hypotheses. The successful
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friendly, motivated team working towards development of high-precision measurement technology for gravitational wave detection. This position is within the ANU Centre for Gravitational Astrophysics (CGA), a
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experimental nuclear structure physics, laboratory experimentation, and data analysis, with experience in nuclear moment measurements viewed favourably. The candidate will have a clear research vision and
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, including peer-reviewed publications and collaborations. They will demonstrate innovative thinking, a clear research vision, and a commitment to securing competitive external funding. The successful applicant
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platform with global ambitions. The Position Funded through the Medical Research Future Fund (MRFF), this position will play a central role in developing computational tools and AI-based approaches
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, or computational. The Experimental Petrology group at RSES is a world-leader in high pressure experimental petrology and the application of cutting-edge microanalysis to experimental products. Our strategic research
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to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational