Sort by
Refine Your Search
-
Applications are invited for a University of Warwick PhD Studentship in The Department of Computer Science in collaboration with the Department of Psychology. The PhD will start October 2025
-
Overview The University of Warwick in partnership with Electronic Arts (EA), is looking to recruit a PhD student in computer graphics for games. This is open to home students and will fully cover tuition
-
; Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 4 days ago
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, Loughborough, De Montfort
-
II CDT) at the University of Warwick, where you’ll be immersed in a community dedicated to computational science innovation. With expert training in atomistic simulation, machine learning, and high
-
interdisciplinary research in data visualization Collaborate between City St George's and the University of Warwick . Be part of a diverse and active cohort working on and learning about data visualizations through
-
Supervisors: Prof. Gabriele Sosso, Dr Lukasz Figiel, Prof. James Kermode Project Partner: AWE-NST This project utilises advancing machine learning techniques for simulating gas transport in
-
cerium-rich alloys to delocalise and join the valence electrons triggering a dramatic change in properties. The project will explore building machine learning interatomic potentials for further modelling
-
optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
-
. Alternative approaches are graph-based molecule reaction space sampling and generative machine learning as they provide a path to new synthetic data that can form the basis for a large-scale database of
-
calculations of well-characterized 2D materials, simulations of electron microscopy images, and machine learning methods to reconstruct the 3D atomic positions of materials from a 2D microscopy image. The