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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: A completed PhD or a submitted PhD thesis
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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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be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. The main
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. PhD For people in the EU, click here for information on your privacy rights under
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analysis and machine learning for computer vision Excellent communication skills Excellent verbal and written English language skills (German is not required) Our offer Does this sound interesting? This is
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• Machine learning for wireless communications • Hardware-constrained signal processing for wireless communications • Channel modeling and characterization Applications will be
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profile: The ideal candidate will have: A PhD in biology, cognitive science, or an adjacent field (e.g. biomedicine, computer sciences); A strong academic track record, including high-quality publications
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machine learning techniques. A team player who enjoys coaching PhD and Master's students and working in a dynamic, interdisciplinary team. A proven ability to manage complex projects to completion