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of Warwick, and Prof Emma Kendrick at the University of Birmingham. The project will be affiliated with the Faraday Institution FAST project and will combine advanced computational modelling with experimental
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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direct continuation of that programme. The project will develop hybrid QD–Rb interfaces for frequency conversion and subsequent storage of single photons in warm rubidium vapour. High-quality epitaxial III
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The Crop Innovation Centre - Skills, Technology And Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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looking for curious, enthusiastic and hard-working candidates with the following expertise: -- an understanding of concepts in fluid mechanics, and analytical and numerical methods to solve partial
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Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics design
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide
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Doctoral Focal Award programme, you will join a cohort of researchers tackling major environmental challenges through engineering biology. This provides access to specialist training, industry engagement
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. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as