430 computer-science-programming-languages-"Prof"-"Helmholtz-Zentrum-Geesthacht"-"Prof" positions at NIST
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informatics developers in the public-private-academic Genome in a Bottle Consortium to develop methods to integrate short-, linked-, and long-read sequencing technologies to form benchmarks for somatic variant
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programs use gas-source molecular beam epitaxy growth of nitrides, phosphides, and arsenides with a focus on nanostructures. Other in-house collaboration includes vapor phase and catalyst growth methods
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via laboratory testbeds, numerous machining centers, and a nanoscale science center. Furthermore, NIST provides computational resources and has an interest group for AI that regularly meets, giving
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RAP opportunity at National Institute of Standards and Technology NIST Ab Initio Mass Spectrometry Location Material Measurement Laboratory, Chemical Sciences Division opportunity location
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NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety...
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, physical, optical, and thermal properties of WBG semiconductors, including diamond, make these materials among the most prospective for high-frequency power electronics, quantum computing, solar-blind
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Characterization of Photonic Elements," in IEEE Photonics Technology Letters, vol. 29, no. 8, pp. 643-646, 15 April 15, 2017, doi: 10.1109/LPT.2017.2660439. MEMS and NEMS; Scanning probe microscopy; Nanomanipulation
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RAP opportunity at National Institute of Standards and Technology NIST Integrated Quantum Nanophotonic Systems Location Physical Measurement Laboratory, Applied Physics Division opportunity
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RAP opportunity at National Institute of Standards and Technology NIST Atomistic Modeling of Phonons in Nanodiamonds and other Nanomaterials Location Material Measurement Laboratory, Applied
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RAP opportunity at National Institute of Standards and Technology NIST Incorporating Theory and Domain Knowledge into the Machine Learning of Polymeric Systems Location Material Measurement