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SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to: (1) develop 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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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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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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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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: 6418924 Postdoctoral Research Associate (Physics) What We're Looking For Baylor University has an opening for a Postdoctoral Research Associate in Experimental High Energy Physics beginning no sooner than
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catalysts can bridge fundamental insights obtained from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface
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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
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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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, artificial intelligence, machine learning, and data science. Participate in the mentoring of graduate students, postdoctoral fellows, and staff. Participate in departmental, institutional, and professional