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university. We are willing to support applications related to our research on complex systems, network and data science, agent-based models, statistical physics, or computational and mathematical modelling
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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Director, Network and User Support US-NY-New York Job ID: 2025-15103 Type: University Development and Alumni Relations (WS1006) # of Openings: 1 Category: Technology New York University Overview University
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) using empirical methods such as ground-motion prediction equations and observed data. Feasibility study for a low-cost sensor network aimed at characterizing the variability of ground shaking at the urban
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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23 Dec 2025 Job Information Organisation/Company Istituto Nazionale di Geofisica e Vulcanologia Research Field Environmental science Mathematics Physics Researcher Profile Recognised Researcher (R2
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the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal
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to develop quantum network technology. This work will build on the infrastructure that has been established through the National Quantum-Safe Network. There are two positions for post-doctoral researchers
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a Masters degree in Data Science, Computational Social Science, Computer Science
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course