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experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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-of-the-art digital methods and/or algorithms in the study of social world phenomenon? The Department of Society and Politics, the Faculty of Social Sciences and Humanities, AAU invites applications for a 3
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successful candidate will contribute to developing new cryptographic network protocols based on quantum resources. A particular focus is given to secure multiparty computation protocols where participants
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first
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for the quantum-classical control and readout interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and
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organizational practices such as recruitment, evaluation, communication, coordination, learning, and career development. These developments may create new opportunities for workplace inclusion, while also
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, The University of Queensland (UQ), Australia, and Danfoss. You will join a highly interdisciplinary research environment and work closely with leading academic and industrial partners to develop next-generation
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. You will be involved in the further development and application of the FlexSem model system, which is a framework developed by the model group to describe the dynamics of coastal marine systems
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, processes, and practices, and how educational institutions prepare students to navigate these changes and contribute to the development and implementation of AI. The project may draw on perspectives from