321 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at NIST in United States
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crystallography and spectroscopy are fundamental and imperative in the investigation and development of condensed matter sciences. We will widely use these methods to study the crystal structures of novel materials
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materials, (2) the preferred binding sites of adsorbate species in nanoporous solids and predicted experimental signals (e.g., infrared spectra), and (3) the development of DFT-based force field models
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research in high-impact science and engineering fields that utilize vapors, liquids, and aerosols. Our experimental scientists focus on developing fundamental measurements and novel methodologies that can
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information. Our group performs research and development to extend the accuracy, wavelength range, power range, robustness, and portability of radiometric standards. We use advanced nanfabrication techniques
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system. However, not much is known about how these chemical modifications affect structure-function relationships. We propose to develop robust computational modeling in conjunction with experimental NMR
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within the Radioactivity Group at NIST addresses some of these hurdles in an effort to provide the foundations for absolute quantitation in imaging. NIST pioneered the development of long-lived calibration
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) to develop a high-throughput technique to screen new materials for high frequency performance. As a first step, the Associate will focus on ferroelectric materials and transition metal dichalcogenides
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measurements of these systems. Theory and simulations are being done to develop this understanding. We are investigating the electronic and optical properties of quantum dots and wires, metallic and
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. The composition explicit distillation curve method, developed at NIST, provides a unique approach to join fuel composition with the thermophysical properties. Of critical importance is the moiety family breakdown
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that can be integrated into the research workflows used in developing new materials (e.g., carbon nanotubes) or in determining disease pathologies (e.g., Alzheimer’s disease). We want to explore solutions