, Automation & Smart Machine Enabled Sustainable Circular Manufacturing & Materials (RESCu-M2) led by the University of Birmingham... reputation through significant original research work and a clear record of impact, and/or designing and developing innovative...
application of machine-learning/AI methods to biomedical data (ideally for the study of rare disease genomics... Institute is a world-leading centre for research, with a vibrant, multidisciplinary scientific environment devoted to innovative...
-protein interactions and enhancing structural biology data generation and processing, including the application of machine... interactions to function as “molecular glues.†Our objective is to create innovative, structure-driven methods for the de novo...
-density reaction techniques, laboratory automation & robotics and kinetic/machine learning modelling. Practically..., this involves the application of innovative methods such as flow chemistry ramping and high-throughput experimentation to expediate...
mathematical machine learning and AI methods, or applied mathematics, to solve challenging problems. Your research.... You will be able to propose an innovative and deliverable three-year research project that contains substantial mathematical content...
About the project: Machine Learning to Unlock the Mysteries of Metallic Phase Transitions Supervisor: Dr Livia... experimental investigations. This project combines cutting-edge sampling techniques with developing machine-learned potentials...
techniques, machine learning and operation of flow chemistry platforms. This project would be ideal for an ambitious... and innovative researcher who enjoys working in a diverse and interdisciplinary team and is excited to learn new skills. References...
About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments... Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine learning models to predict how materials...
their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials... is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle...
of Heterogeneous Materials (HetSys), School of Engineering About the project: Machine learning accelerated Inverse Design... an AI-guided inverse design loop. A goal-directed AI proposes novel GNR architectures, which a fast machine learning model rapidly...