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, synthesize, and characterize metal-organic frameworks (MOFs) for catalytic applications Evaluate catalytic activity for hydrocarbon conversion and hydrogen (H2) storage in liquid organic hydrogen carriers
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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in detection and analysis of rare noble gas isotopes through Atom Trap Trace Analysis (ATTA), an efficient and selective atom counting method based on laser cooling and trapping. This position will
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spectroscopy (e.g., transient absorption), including laser operation, optical alignment, and data analysis Experience in synthetic inorganic chemistry and transition metal complex photophysics Job Family
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cryogenic environments Participate in synchrotron-based characterization and data analysis Contribute to high-impact publications, internal reports, and scientific presentations at conferences and workshops
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surface organometallic catalysis with a focus on understanding metal-surface stereoelectronic communication. In this role you will: Conduct research as part of a multidisciplinary team in supported
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their relationship to topology in a variety of materials exhibiting out-of-plane component of magnetization. Here the target materials are those with interfacial DMI (e.g.: Co/Pt multilayers) and chiral
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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. Interest in applied, multi-disciplinary problems with an analysis component. Familiarity with chemicals manufacturing and critical minerals processing. Ability to work independently and collaboratively, with
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration