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Applications are invited for a Postdoctoral Research Scientist (SC6) or Senior Postdoctoral Research Scientist (SC5) to join Professor Ke Li's AI for Biology Group in the Research Faculty
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Employer https://main.hercjobs.org/jobs/22419032/postdoctoral-researcher-lab-scientist-deep-phenotyping Return to Search Results
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
-scale deep learning, ideally applied to protein or nucleic acid sequences Ability to work independently and to translate diverse scientific use cases (brought by wet-lab and computational colleagues alike
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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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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 22 hours ago
, Wallumattagal Campus, North Ryde About the Fellowship The China Strategic Knowledge Initiative at Macquarie University invites applications for a full-time Postdoctoral Research Fellowship commencing in 2027
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for highly motivated postdoctoral candidates with a PhD in bioengineering deep knowledge in computational biology and machine learning. Candidates with a molecular biology or engineering degrees with
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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progression and treatment response, and support personalised AF management. The postdoctoral researcher will develop, implement and validate state-of-the-art machine learning methods, ranging from deep learning
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and postdoctoral fellows, and teach undergraduate and graduate courses in the Earth sciences. Although we recognize that candidates may have varying levels of teaching experience, a willingness to