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and development of gene therapies. This NIST postdoctoral research opportunity focuses on developing robust protocols and refining measurement methods in infectious titer assays. Activities can include
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computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular structure determination by NMR, with
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systems. As a result, these computational problems are ideal for developing machine-learned potentials and computational workflows that integrate theoretical and sampling advancements. The NIST
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, commercial qNMR standards have only appeared in the last few years. We seek proposals related to the development of high-accuracy methods or standard reference materials for the analysis of gas-phase mixtures
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large proteins. Cultures with poor transfection efficiency do not generate enough signal for STD-NMR spectroscopy and this has hindered method development. We seek proposals aimed at determining
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. These small -scale projects offer opportunities across all aspects of an experimental program from simulation to operations and data analysis. key words cold neutrons; cosmology; neutron physics; beta decay
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during indentation can only be observed in their entirety and analyzed in depth under in situ conditions. For that purpose, Raman spectroscopy-enhanced indentation technique (RS-IT) is being developed
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focuses on developing and applying label-free optical imaging technologies to visualize structures and molecular compositions of organelles in cells and to map heterogeneities in tissues to enable
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the use of laser pumping and silicon micromaching. This proejct develops compact magentic sensors than combine high sensitivity and accuracy with vector field readout and manufacturability. We design novel
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. To facilitate recycling, there is a critical need to develop and refine advanced separation methodologies for common fiber blends, such as cotton, polyester, and elastane. Developing methodologies to recover and