Sort by
Refine Your Search
-
About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell
-
About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
-
Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
-
high-risk movements during poor network conditions. This predictive capability will help maintain safe and stable human–robot interaction. This PhD project, delivered in collaboration with clinical
-
establish a digital route to quantify the segregation behaviour of residual elements at austenite/austenite grain boundaries through atomic-scale simulations, using modern machine learning techniques and in
-
sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions
-
, machine learning, molecular dynamics, and fluid mechanics. We aim to understand how chemical structure of precursors and process conditions affect film quality, helping design better materials and
-
Funding Source: DLA award Eligibility: Available to home fee status and UK domicile EU students We are seeking an enthusiastic PhD candidate to join the Centre for Polymers and Composites (CPC
-
PhD Studentships in Electrochemistry, Materials Chemistry, Electrocatalysis and Batteries Hartnoll Centre for Experimental Fuel Technologies at the University of Warwick WE ARE RECRUITING 15 PhD