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requirements and stringent power constraints are an explicit focus point of the group. NES-Lab focusses on design, analysis, and optimization of reliable and low-power embedded networks as a main building block
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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within the SecReSy4You MSCA Doctoral Network at Eindhoven University of Technology. Information The Dynamics and Control group at Eindhoven University of Technology (TU/e) conducts world-class research
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required, and phased integration strategies for new aircraft types. TU Delft brings expertise in aircraft performance modeling, ATM simulation, and network analysis to this exploratory research. The PhD
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
Is the Job related to staff position within a Research Infrastructure? No Offer Description Mapping the Mains: AI-assisted Monitoring of Drinking Water Networks Drinking water networks are critical
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analyse both existing panel data and newly collected survey data (e.g. with multilevel regression and longitudinal panel analysis). We will refine existing network measures to better capture inherited
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Netherlands; participate in project publications, research workshops, and other events; build a network with practitioners; and contribute to the project’s overall communication strategy Present your research at scientific
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; build a network with practitioners; and contribute to the project’s overall communication strategy Present your research at scientific conferences Publish results in international peer-reviewed journals
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sound statistical models and methodology for the data-driven analysis of complex and dynamic systems, with the goal of enabling predictive, prescriptive, and pre‑emptive analytics. We work closely with
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BlueVantage. Build a decision‑analysis tool to compare treatment options and support evidence‑based planning of wastewater treatment systems. Explore stakeholders’ acceptability of different implementation