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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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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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of control theory and optimization. Knowledge of partial differential equations. Have a strong coding ability Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or
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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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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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of Undergraduate and Postgraduate teaching through lectures, seminars, course work, tutorials and personal supervision. You must have a PhD (or equivalent) in Engineering, Science, Mathematics, Statistics, Data
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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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at industry-facing events. Strong technical and scientific knowledge in machine learning, preferably with experience in large language models (LLMs). Solid foundations in mathematics and engineering
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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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Applications are invited for a part-time (0.4 FTE) Research Associate position in Digital Musical Instrument Design and Analysis to work on a research project investigating the cultural implications of engineering decisions in the area of music technology. The successful candidate will be based...