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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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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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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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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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background in machine learning and statistics, who are eager to contribute to cutting-edge methods for generating private and fair synthetic data with good utility. This project involves development of deep
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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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Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Postdoctoral Fellow position is a full-time, provisional position with the COSMOS Research Center (cosmos.ualr.edu) at
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Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Postdoctoral Fellow position is a full-time, provisional position with the COSMOS Research Center (cosmos.ualr.edu) at
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Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Postdoctoral Fellow position is a full-time, provisional position with the COSMOS Research Center (cosmos.ualr.edu) at
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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