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and the biologics are poorly understood. This research opportunity centers on advancing experimental measurement methods to quantify the structure formed between poly(organophosphazene) polyelectrolytes
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requires expertise in Computer Science, Statistics, or a similar field. Experience with machine learning, genetics, and/or bio-informatics is strongly preferred. The postdoc will work together and within a
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availability of authentic reference standards must be addressed individually for each dietary supplement material. Reference materials and methods are needed to support the analysis of dietary supplements and
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but inaccurate, leading to overconfidence in position data.This fundamental issue is becoming more important as localization microscopy matures, requiring not only novel methods but also reliable
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RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
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for characterization (higher-order structure MS methods, top down sequencing, peptide mapping, glycoanalysis, PTM’s, size/charge heterogeneity), stability and associated phenomena (aggregation, accelerated stability
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include particle characterization (including protein aggregates) for biotherapeutics, and cell viability measurements for cell-based therapies and cell-based biomanfacturing. A key method is to perform
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. At NIST, we use large-geometry SIMS instruments to develop new particle analysis methods, improve analytical accuracy and reproducibility, and collaboratively develop new microparticle reference materials
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are often destructive, insufficient in resolution and sensitivity, and are subject to bias inherent in the measurement process. New methods for quantitative, in situ characterization are essential for gaining
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are also of interest. A short-term goal of this project is to validate the performance of electric-acoustic spectroscopy, which is a new method for the measurement of intermolecular interactions that is