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Field
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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The group of Dr. Chong Sun in the Department of Chemistry and Chemical Biology is seeking a postdoctoral researcher to join interdisciplinary projects at the intersection of theoretical chemistry, machine
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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novel computing paradigms, providing a unique opportunity to contribute to mathematics with a clear technological impact. We are recruiting two complementary postdoctoral researchers to join this
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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significant impact on the world around us. The Department of Electrical and Computer Engineering at Carnegie Mellon University is seeking a Postdoctoral Research Associate that will contribute to cutting-edge