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Field
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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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in e.g. programming, algorithms and data structures, software systems architecture, use of AI, data acquisition and fullstack software-development. Following the Problem-Based Learning (PBL) model, you
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developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better visualise tissue boundaries. The project will also
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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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integration of mechanical structures, actuators, sensors, and control hardware, development of control algorithms, and programming for embedded or robotic platforms. You are familiar with modelling and analysis
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the opportunity to develop intelligent technologies, collaborate across scientific, engineering and clinical disciplines, and contribute to innovations shaping the future of clinical and healthcare systems
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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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1.1.2027 or as soon as possible. Job description You will be contributing to/establishing/developing an in-situ imaging system for NH3. You will be further developing optical NH3 sensors in the laboratory
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to the operation, development, and maintenance of laboratory infrastructure across the department. The position involves collaboration with researchers, students, and technical staff in a broad range of experimental