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, heterogeneous catalysis, electrocatalysis, sustainable energy, and machine learning. We develop and apply electronic structure theory, i.e., density functional theory and correlated wavefunction theory, to design
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software skills in C++, python. Understanding of computing software development in the HEP environment, familiarity with machine learning (ML) techniques and experience with using ML software packages (e.g
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, electrocatalysis, sustainable energy, and machine learning. We develop and apply electronic structure theory, i.e., density functional theory and correlated wavefunction theory, to design heterogeneous catalysts
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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Investigator, the Postdoctoral Associate will conduct specialized cardiovascular research techniques and procedures with focus on artificial intelligence and machine learning platforms that will promote
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campus. To learn more, go to Baylor Benefits & Advantages. Explore & Engage Learn more about Baylor and our strategic vision, Baylor in Deeds . Also, explore our great hometown of Waco and the many
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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Postdoctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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sciences, computer science, machine learning, and education research. Research Themes The research themes identified for the NTO postdoc include, but are not limited to, the following: Developing
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research objectives, under the direction of a supervisor. Demonstrated expertise in hydrologic, water quality, crop, and ecosystem modeling. Strong computer and statistical programming skills, with