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, artificial intelligence, and cosmology. Research Opportunity These positions are an opportunity to join Professor Benjamin D. Wandelt as he establishes a new research group at Johns Hopkins University
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Cheminformatics at the Department of Mathematics and Computer Science at SDU offers a dynamic research environment, comprising two full professors, one associate professor, one assistant professor, one postdoc, and
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on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand these methods and their
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their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research
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multidisciplinary teams, and scientific creativity are essential. Selected candidates will spend half their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science
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Tadayoshi Kohno, a professor of computer science at Georgetown University. The postdoctoral fellow will be part of a cross-institute collaboration between Computer Science (CS), Center for Digital Ethics (CDE
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-doctoral research fellow or a research faculty position at the intersection of data science, AI, and health. The candidate with work with Dr. Fang Liu , Director of HEAL and Notre Dame Collegiate Professor
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expertise in applied mathematics, computational methods, and imaging sciences, and actively collaborates with leading international researchers. The position will be supervised by Assistant Professor Babak
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creativity are essential. Selected candidates will spend half their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division
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Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth