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the development towards this end of efficient, highly parallel software running on commodity hardware. Novel methods to compute the stray field from magnetized material with attention to interface and
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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using quantum information principles, investigate fundamental quantum physics using the neutron interferometry facility at the NIST Center for Neutron Research, explore parallels between atom and neutron
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molecular motors and RNA-folding. In a parallel effort, we significantly enhanced the biophysical capabilities of an atomic force microscope (AFM). Specifically, we achieved sub-pN force precision and
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scaled up to handle large numbers of samples in massively parallel, low-cost analysis systems. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in
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parallel, low-cost analysis systems that do not rely on optical or aptamer-based labels. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in detail
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(e.g., interfacial adhesion, fracture strength) of heterogeneous structures We are looking for researchers with a PhD in Mechanical Engineering, Materials Science, or Physics who have expertise in
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browsing capabilities. A small subset of project relevant publications is listed below. Requirements:A candidate should have at least a master’s degree in computer science or related fields (PhD is preferred
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a PhD in Mechanical Engineering, Materials Science or Physics who has expertise in multi-physics simulations, non-linear FEM, inverse analysis and constitutive modeling. Prior experiences in modeling
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these complex communities by developing sample preparation techniques that are compatible with NMR and mass spectrometry-based techniques. This will allow parallel multimodal analysis including proteomic