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://ef-lab.mmll.cam.ac.uk . The lab focuses on connecting basic research in second language acquisition with teaching and learning practice. Our goal is to develop teaching methods for varying learner
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language acquisition with teaching and learning practice. Our goal is to develop teaching methods for varying learner profiles aiming for teaching tasks and learning activities that map to the learning
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catalyst pellets. To do this we need to develop magnetic resonance imaging methods that spatially resolve chemical species present with the catalyst pellet while the conversion is occurring. This, in turn
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opportunity to develop museum and archive skills for career development though work experience and research. It allows the successful student to explore in detail the acquisition of ancient Mediterranean
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and after transplantation. We are also interested in profiling EVs to develop biomarkers of the conditional state of donor organs. A major challenge in EV research is their inherent heterogeneity
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an innovative technique called speckle contrast optical tomography (SCOT) with the potential to provide 3D images of cerebral blood flow in the infant brain. The main objectives are: To develop a small wearable
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aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite configurations for GNSS-R. Combining the data science expertise of Dr Handley's
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to develop a new material with current methods. We need to innovate faster, as the pace of global change accelerates. This is where you come in…… We are seeking graduate scientists and engineers keen to
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reliable deep learning architectures suitable for real time and on-chip spike sorting. To develop an on-chip processor integrable into the sensing module for real time behavioural decoding of different
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strategies to prebiotic chemistry by transforming primitive lipids into modern lipids through non-enzymatic chemical strategies. The student will design and develop novel synthetic methods to generate