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Full time, 3-year fixed term, located on the Camperdown Campus at the Faculty of Science Join a cutting-edge ARC Linkage project advancing fish seascape ecology and connectivity modelling to inform
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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Theory and Machine Learning, can easily integrate into our team, independently contribute to current research, and work with responsibility for results. The research project is a collaboration between the
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. Research Environment The project is in collaboration with two partners: (i) IDCOM at the University of Edinburgh, which develops theory, algorithms and hardware for the next generation of signal processing
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the area of data privacy for dependent data and change-points in Gaussian processes. You publish internationally and give lectures. You apply for projects and raise third-party funds. You hold courses
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when information becomes available during active sensing maneuvers using tools from control theory (see Cellini et al 2024 preprint). We also work with flying quadrotor systems in a flight tracking space
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strategy, innovation, entrepreneurship, and international business. The theoretical foundation for research in these areas is eclectic, combining strategy and/or internationalization theory with insights
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A position exists for a Post Doctoral Research Associate in Department of Applied Mathematics and Theoretical Physics to work on the theory and implementation of algorithms and protocols on quantum
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AIICS: https://liu.se/en/organisation/liu/ida/aiics In your application, kindly indicate which of these divisions you would prefer to be based at. The employment This employment is a fixed term contract
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. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model