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. Being able to predictively design particle properties is of great economic value and is applicable to a range of industries such as pharmaceuticals, agrochemical, additives, cosmetics and food
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Robotics, Embedded Systems, Medical Sensors, Sensor Design
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-molecular interactions will provide a wealth of new inforamtion, which can be used to improve predictive design and control of crystallisation using machine-learning methods. This studentship will entail
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this intersects with social inequalities. Research questions: What does doing well in life mean to young people? Do young people plan and make decisions they see as relevant to their futures and how do
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is the capability to convert NOx at lower temperature (< 200°C) when the engine is at low load and cold operation, which is a major source of urban pollutions from vehicles when travelling at low speed
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, this project with apply the result to further train neural network-based machine learning models, with the aim of developing predictive tools for the rational design of future materials. Please state your entry
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of the single photon source. In addition, the project requires further surface photonic circuit design, fabrication using femtosecond lasers, and clean room processing to achieve the ability to realise
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methods, to enable comparing the possible damage created by off-the-shelf devices and patient-specific devices from Attenborough Medical Explore design optimisation with participant or patient data
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to minutes per ligands. The most successful ligands identified in silico will be prepared and validated experimentally. Further refinement of the lead ligands through rational design, computational evaluation
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electromagnetic spectrum into which current radio frequency and microwave wireless communications can grow. As part of a £7M research programme between the Universities of Leeds, Cambridge and UCL, we