177 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" positions at NIST
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to profile the microbial communities based on metagenomics and transcriptomics approaches. The comprehensive profiling methodologies will provide the foundation for the development of reference materials
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images. The use of semantically-derived taxonomies, ontologies, and relations automatically extracted from texts can improve the development and standardization of domain-based AI systems and human
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potentially competing performance goals. Achieving these goals requires the development and application of technologies, such as high performance building envelopes and advanced cooling and ventilating systems
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@nist.gov 301.975.6740 Description With the development of nanoparticle and colloidal technologies that include processing in the dispersed phase (or are fundamentally liquid phase processes), there is a need
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) are beginning to broadly impact physics: from probing the evolution of galaxies to calculating quantum wave functions to discovering new states of matter. This postdoctoral research opportunity centers
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/hospitals/factories, elder care, and the Internet of Things (IoT). NIST extensive research activities in this area include development of new solutions as well as rigorous testing of indoor localization and
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identification of spectral features by computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular
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, speciation). The project will focus on the design and development of front-end techniques, devices, and platforms with the potential to directly sample, or separate, analytes from complex matrices (e.g., dirt
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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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results. We are also pursuing advanced data analysis techniques and development of neutron instrumentation and sample environments in support of autonomous experimentation and high-throughput measurement