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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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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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of the spectrum of the subject from theory to practical implementation. You will have experience in publishing research in leading conferences and journals. You will demonstrate the ability to build proofs
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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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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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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