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Field
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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to the effective supervision of Honours and Higher Degree by Research (e.g., PhD, Masters) students (as appropriate). Demonstrate personal effectiveness in supervision and the management of researcher development
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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managing timelines and deliverables. Qualifications Advanced Degree: A PhD in a relevant field such as computer science, economics, political science or cultural evolution Programming Skills: Proficiency in
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work on a project to conduct research for human robotic teaming, in particular: Perform optimization on complex system subject to various constraints. Design and develop real-time algorithms. Simulate
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. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
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using GNN for prediction and design new algorithms with theoretical guarantees. This PhD project will be at the interface between statistics, logic and machine learning. Project supervisors: Egor V
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct