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the corrosion of reinforcing steel, which compromises safety, durability, and sustainability. Current corrosion prediction models often fall short because they rely on oversimplified assumptions and
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Cardiometabolic diseases (CVMD), such as heart disease and type 2 diabetes, represent a major global health burden and exhibit stark ethnic disparities. Current clinical prediction models, even
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of Warwick. This exciting project, co-supervised by Dr. Sagar Jilka and Dr. Vivek Furtado, focuses on developing a privacy-preserving Artificial Intelligence (AI) tool to predict the worsening of anxiety and
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Project Description: Within aircraft jet engines, high-pressure turbine (HPT) blades are exposed to combustion gases requiring complex cooling strategies. Prediction of turbine heat transfer is
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to create molten salt MLIPs, predicting a variety of industrially pertinent properties: thermal conductivity, heat capacity, viscosity, and thermodynamic phase data. We will develop new statistical mechanical
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our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically
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PhD studentship: Predictive Modelling of Powder Blending in Continuous Direct Compression for Pharmaceutical Tablets Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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of the partner. The PhD studentship for this project will be funded via HORIZON-MSCA-2024-DN-01 award. The student will work on the project "Towards non-invasive monitoring and prediction of cancer
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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knowledge gaps by combining novel observations of individual fires globally (5) and climate datasets with machine learning to predict megafire occurrence. The successful candidate will contribute to a ground