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the existence of underlying physics. This project seeks to incorporate physical laws and domain knowledge into machine learning to improve performance with regards to small datasets, extrapolation and
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somatic variant detection in tumors. This project would involve working with a unique group of technology and informatics developers in the public-private-academic Genome in a Bottle Consortium to develop
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regimes, and accurate geometry- and biochemistry-based trajectory analyses. However, detailed molecular dynamics simulations are often too time-consuming to become the basis of computational measurements
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world-class, unique controls and measurement capabilities, and flexibility to incorporate new research instrumentation and ideas. Further, our measurement facilities include X-ray computed tomography
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words Protein; Higher Order Structure; Therapeutic Protein; Raman Spectroscopy; Vibrational Spectroscopy; High Sensitivity; QCL-IR Spectroscopy; Coherent Raman Eligibility Citizenship: Open to U.S
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single photon counting, nucleoproteins, CRISPR/CAS9, riboswitches, high pressure The ability to “see” single biomolecules with laser microscopy has led to a revolution in research opportunities
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of aqueous chemical models, incorporated into computer codes, for both pure and applied research that include industrial chemistry, chemical engineering, water treatment, hydrometallurgy, toxicology, medical
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approach to community resilience for buildings and infrastructure systems that includes (1) identifying performance and recovery goals based on their role in the community and the social and economic
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microfluidic networks.Our goal is to develop systems that enable accurate, high-throughput, and dynamic measurement of materials in flow, which will, for example, improve the ability to specify composition and
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to reliable manufacturing of the next generation computing devices. Computational imaging methods such as coherent diffractive imaging, Fourier ptychography, structured illumination techniques, and other super