71 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Australia
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to these values. We are seeking an excellent candidate for a Postdoctoral Research Associate in 3D Deep Learning for Vision and Lidar position who has: a PhD (or near completion) in a relevant field background
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computational tools for analyzing immunogenomics data in the context of gastrointestinal autoimmune diseases and Type 1 Diabetes. Lead the application of AI and machine learning to identify novel therapeutic
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, with the possibility of an extension. About You To be successful in this role, you should possess the following skills and experience. PhD in Computational Biology, AI, Bioinformatics or related field
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in the Tumour Inflammation and Immunotherapy Program at SAiGENCI combine molecular biological and genetic approaches, together with human translational studies, to identify the mechanisms by which
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position, available until December 2027. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and
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Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
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record in conducting machine learning research. You will join a team of researchers that are pushing the boundaries of computing. You will have access to our state-of-the-art equipment and facilities and
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has: a PhD in a related or relevant field to this project design and conduct experiments collect and analyse data, including with the use of machine learning develop mathematical models of excavation
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design