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on high-fidelity modelling and test data for both metals and thermo-set composite materials. To achieve this we will explore the use of advanced genetic algorithms and/or Artificial Intelligence (AI
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed
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imaging. Novel data workflows will be developed to allow parallel multi-element measurements. The project is interdisciplinary, combining instrument development, analytical chemistry, laser physics and
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biology, computational chemistry and analytical chemistry within a vibrant, multidisciplinary research environment. About the programme Join experts in industry and academia working to sustainably
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) characterisation methods, e.g. crystallography, NMR, IR, Raman, UV/Vis/NIR, and EPR spectroscopies, magnetometry, and quantum chemical calculations; (iii) reactivity studies supported by analytical characterisation
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. In particular, C-dots can be engineered to sensitively detect intracellular pH fluctuations, which are critical in cellular health and disease, and extended to other analytes relevant for both
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process
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advanced theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling
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focused on methodology development, providing excellent all-round training in practical organic synthesis with particular emphasis on contemporary photochemistry. You gain extensive experience in analytical