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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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to assimilate in-house expertise but also to gain further experience through collaborative work (on theory, computational chemistry, other spectroscopies, etc) elsewhere in Imperial, the UK, and abroad. The
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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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density functional theory (DFT) The opportunity to be part of an exciting project and part of a multidisciplinary, enthusiastic and supportive team To grow your career through opportunities such as formal
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at this topic but your focus is on practical security. It will be expected that the candidate will have a PhD in a Communications field that demonstrates knowledge of the spectrum of the subject from theory
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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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Contribute to the supervision of junior researchers and students as opportunities arise A PhD in a relevant quantitative discipline (e.g. mathematical modelling, geo-statistics, machine-learning) Experience
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the reputation of the team, the Department and the University. • Be already holding (awarded) — at the start date of the position — a doctoral degree in Economics, Engineering, Applied Mathematics, Data Science
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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