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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 3 months ago
The Midlands Graduate School is an accredited Economic and Social Research Council (ESRC) Doctoral Training Partnership (DTP). One of 15 such partnerships in the UK, the Midlands Graduate School is a collaboration between the Universities of Warwick, Birmingham, Nottingham, Aston Leicester,...
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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"Future-Predictive Digital Systems through Super Dimensional State Engineering". The objective of this project is to develop future-predictive digital systems that facilitate the design and optimization
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identifying predictive genomic markers for specific reactions. The goal is to develop and implement effective tools to prevent ADRs in susceptible children and adults by predicting in whom the most serious
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University of Greenwich Undergraduate student (predicted to achieve a 2:2 degree classification or higher) applying for a postgraduate taught (PGT) course or Postgraduate Certificate in Education (PGCE