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by UK utility SP Energy Networks, and is used to automate the selection, siting and sizing of network operator-owned active PEDs. An initial design for the Tool has been developed through 2025, and
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engineering and information technology, protection automation and control theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important
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types of communication on social media and how that affects polarization. You will use an innovative multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis
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graded, student-written texts from UvA databases. Important steps constitute the development and validation of automated and potentially LLM-based scoring metrics. These metrics will then be used to inform
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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to develop new protection and control systems based on virtualization methods. The PhD will work with the interplay between electrical engineering and information technology, protection automation and control
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driving, in-car monitoring, industrial automation, and security surveillance. The research, called "R4DAR," aims to leverage emerging 4D imaging technology with Massive MIMO to create image-like radar
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such as automated live-cell imaging, electrophysiology and biomarker analyses, effective AONs will be selected. Ultimately, the goal is to develop an AON that can be translated into a treatment for ALS
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wide spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology
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@ntNet, a platform dedicated to automated plant identification. This mission will focus on the following key areas: 1. Study and Adaptation of Influence Functions** The doctoral student will delve