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renovation processes, you will design governance structures to guide the implementation and scaling up of PRE-MADONA's envisioned digital ecosystem. As part of your project, you will address issues such as
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are looking for a highly motivated and curious PhD candidate to contribute to the next generation of real-time, AI-driven decision support for multimodal construction logistics. The successful candidate will
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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safety and efficiency. Artificial Intelligence (AI) and unmanned systems, including drones and robotic crawlers, are being tested to identify structural problems and assess environmental conditions without
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structure As part of the Industrial Doctorate: You will spend 2 days per week at Thales (Hengelo). You will work closely with: production planning teams, operations engineering, data & analytics departments
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research is developing structured, LLM-readable document representations that enhance accuracy, facilitate automation, and improve interoperability across different model types used within the organization
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. Current practices are typically qualitative and ad hoc, which limits comparability and transparency across clients, especially in commercial insurance contexts. This PhD project aims to develop a structured
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) Supervision of students and teaching skills Where to apply Website https://www.academictransfer.com/en/jobs/355937/phd-position-on-single-molecule… Requirements Specific Requirements You are a very enthusiastic
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specially designed test structures and new tunnelling devices realised in advanced CMOS. Based on a thorough literature review and the outcome of this research, the main challenge will be to (co-)develop