4 machine-learning-phd Fellowship positions at The University of Queensland in Australia
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collaboratively with colleagues from multidisciplinary disciplines Excellent time management and planning skills, with a commitment to delivery Strong background in machine learning and/or deep learning, and signal
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including the application of artificial intelligence and machine learning. You will engage with industry, government, and research collaborators, fostering partnerships that deliver outcomes aligned with
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with single-cell omics (Level A). This research aims to develop new statistical and machine learning methods to integrate and analyse data from genome-wide association studies (GWAS) and single-cell
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You Completion (level A and B) or near completion (level A) of a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data. Demonstrated expert