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Field
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
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/deep learning-based medical image analysis methods for computerised tomography scans (CT scans). Key applications of such ML/DL methods are illustrated by our prior research (PMIDs 33913675, 33234786
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professional development Onsite childcare facilities Discounted health insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging
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on machine learning, deep learning, control systems, sensing systems, and related technologies. Supports the development, testing, and transition of emerging autonomous technologies through laboratory
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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, physics or a related discipline, or equivalent experience.* Strong experience in machine learning, deep learning, computer vision or machine vision applied to imaging data.* Experience developing DNN-based
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About the Role This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics
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, artificial intelligence, machine learning, and data science. Participate in the mentoring of graduate students, postdoctoral fellows, and staff. Participate in departmental, institutional, and professional
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staff position within a Research Infrastructure? No Offer Description Activities: The scholarship recipient will be responsible for implementing and comparing quaternion-valued deep neural networks
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Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on