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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects
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superconducting quantum circuits, particularly transmon qubits. The postdoctoral researcher will learn, operate, improve, and help develop custom experimental techniques optimized for small-volume and thin-film
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processes. Successful candidates will contribute to developing innovative solutions for nitrogen fixation, renewable resource valorization, and waste-to-value conversion while working in a collaborative
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developing machine learning pipelines for imaging data. Excellent analytical, problem-solving and communication skills. The ability to work independently and collaboratively within a multidisciplinary research
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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, and close collaboration with experimental and clinical teams. Primary Responsibilities · Lead computational analysis of large-scale multi-omics datasets, including transcriptomic, epigenomic (DNA
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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to collaborative, multi-lab projects. Enthusiasm for learning new experimental and computational approaches to explore macromolecular assemblies in their native context. About the lab and St. Jude The Moreno lab
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collaboration across organizational and national boundaries. The project combines in-depth qualitative fieldwork across the four Nordic transmission system operators with comparative analysis, contributing
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, learning, or AI venues. Excellent communication and collaboration skills, with the ability to work across institutions and time zones (Singapore–Boston). Preferred experience in any of the following: Sim