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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 18 days ago
, LET, dose rate, and related experimental conditions. - Analyze nanopore signals to quantify fragment-length distributions, chain scission, capture statistics, dose response, uncertainty, and
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theoretical foundations of distributed quantum computing . Our long-term objective is to understand which distributed tasks admit a quantum advantage, especially in the context of the LOCAL model of distributed
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to unfold a protein substrate, Nature Communications, 15, 9681 (2024). Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
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developing algorithms for robot navigation, path and trajectory planning, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware
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of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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([www.prairie-psai.fr ](https://www.prairie-psai.fr/ )), **CEREMADE** is seeking to recruit a **post-doctoral researcher** for a **one-year position** to work on any project in **analysis, calculus of variations
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data, represent and analyze results. Prepare the corresponding scientific manuscripts. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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the whole potential provided by Precession Electron Diffraction-PED and new Direct Electron Detectors for the characterization of nanoparticles by strain measurement, PED-based Pair Distribution Function (PED