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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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but are not limited to modern survival analysis, high-dimensional statistical inference, AI and machine learning, deep learning and its statistical foundations, causal inference, statistical methods
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membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee
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knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and
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: Deep commitment to learning about the natural world, biodiversity, and conservation. Independent: Comfortable working outdoors, when necessary, in the UM-Dearborn Environmental Study Area. Core Skills
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pre-employment or background checks in terms satisfactory to the University. If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your
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pre-employment or background checks in terms satisfactory to the University. If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your
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-required pre-employment or background checks in terms satisfactory to the University. If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your
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maintenance of all role-required pre-employment or background checks in terms satisfactory to the University. If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need