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relates to manufacturability and basic cell functions. Advanced automation systems will also be employed to generate control samples with varying degrees of cell health to serve as training data
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data analysis aspects of these multi-component soft matter therapeutic formulations. The binding between polyphosphazenes and proteins are visualized by cryogenic electron microscopy (cryoEM), therefore
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of liquid samples as a function of temperature, composition, and concentration. These measurements can yield information on the polarization dynamics of different conformations in DNA nanomachines and protein
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angela.hightwalker@nist.gov 301.975.2155 Description Photonic and magnetic nanoparticles have shown great potential in a wide range of applications such as catalysis, information storage, energy, and medicine. Our
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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NIST only participates in the February and August reviews. The modern transmission electron microscope (TEM) is capable of atomic-resolution structural and chemical imaging. However, such data
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. A key challenge is the integration of prior knowledge into the data analysis, including both device physics and material properties.We are primarily interested in photonic (e.g. silicon ring
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integrated nanophotonic devices and systems with novel mechanisms to generate, detect and manipulate light on chip, for classical and quantum information processing. All projects involve development of new
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Development of magnetism-based future electronics is fueled by demand for large memory capacity and high data processing rates. New technologies such as hard drives with bit-patterned media and magnetic memory
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technique. Multimodal imaging combines information from two or more imaging modalities such as MRI, computed tomography (CT), positron emission tomography (PET), and ultrasound (US). These combined techniques