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Applications are invited for a Research Associate* position in the intersection of machine learning and information theory. The successful candidates will be based within the Information Processing
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contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
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and preferences. Decision-making theory and practice. Mathematics and psychology of behaviour. Game theory and mechanism design. Experience design (VR, Audio, UX, etc.) Fairness in the design of
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Cosmic Microwave Background Theory or Analysis; Knowledge: Knowledge of astrophysics and cosmology subject areas at postgraduate level; Strong background in statistical analysis and inference methods
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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
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of Consciousness (ASCs). Prior experience with analysis and modelling of neural data is essential, as well as expertise in theories of complex systems applied to brain activity. The successful
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educational theory and good practice relating to student learning, teaching, assessment and course design in a relevant discipline in Higher Education; Excellent communication and interpersonal relationship
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, evolutionary biology and biodiversity in a University environment, along with the associated administrative and management support work; Understanding of relevant educational theory and good practice relating