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Field
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full-time, internal student (unless approval for part-time and/or external study is obtained). You must commence your degree by September 2026. Within the program of research on Climate-Driven Biofilm
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machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread through a system, and using them to make
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well as the modelling of plasma chemistry, plasma reactor design, and plasma-catalyst interactions. Your research will focus on non-thermal plasma playing a pivotal role in the electrification of the chemical industry
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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This PhD redefines electromagnetic sensing by moving beyond magnetic permeability-dominated approaches to establish a conductivity-driven eddy-current framework for tracking microstructural
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
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are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond. If you’re excited by the idea of using advanced
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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building
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. These differences are partly driven by genetic variation, which influences cellular pathways involved in toxicity. Understanding this variation is essential for developing future safety testing strategies