19 Environment "University of Warwick " positions in PhD

PhD Studentship: Better-conditioned Inverse Problems in Computational Materials Science

, these allow flexible descriptions of atomic environments [1] . This flexibility comes with the challenge of needing to choose parameters for these models that accurately describe complex material processes and

PhD Studentship: Fluid dynamics of impacting complex droplets

. The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any

Fully Funded Health Data Research UK PhD Scholarship: Use of Real-World Evidence in Health Technology Assessment for Multiple Long-term Conditions

at the University of Warwick, benefiting from the stimulating and supportive environment and bespoke training programmes. The successful candidate will receive training to develop their knowledge and expertise in

PhD Studentship in WiFi-Vision Cross-modality Learning for Human Activity Recognition

-interaction (HCI), and more. Among various sensing technologies, Radio Frequency (RF) signals such as WiFi can be applied in a less intrusive manner, offering significant potential in smart home environments

PhD studentship: Fully funded PhD position in the Interplay between Pathogen Surface Modification and Immunity at the IMI, University of Birmingham

this project, the student will spend some time working at collaborators’ group at the Queen’s University Belfast and the University of Warwick. This will provide the student with valuable experience

PhD Studentship in Sustainable Rubber Chemistry and Technology

for Nanocomposites Manufacturing (IINM) and WMG, University of Warwick https://warwick.ac.uk/fac/sci/wmg/research/materials/nanocomposites . You will be able to gain systematic trainings on polymer synthesis

PhD Studentship: Solid-Supported Chalcogen Bonding Catalysis

Solid-Supported Chalcogen Bonding Catalysis A 3.5 year fully-funded PhD position is available in the group of Dr Mark Greenhalgh at the University of Warwick, in collaboration with GoldenKeys High

PhD Studentship: Machine Learning Accelerated Design of Composite Materials for Hydrogen Economy

closely with co-supervisors at Mathematics and Chemistry Departments at the University of Warwick. The candidate will also have opportunity to interact closely with industry (e.g. Baker Hughes Ltd, National

13 Phd Positions on the EU Horizon 2020 Marie Sklodowska-Curie Project POSEIDON

Bretagne Occidentale, OsloMet – Storbyuniversitetet, Norwegian University of Science and Technology, University of Warwick, and University of Liverpool. Industry partners are Cathie Associates, Optum

PhD Studentship: Better-conditioned Inverse Problems in Computational Materials Science

interactions have been proposed recently: together, these allow flexible descriptions of atomic environments [1] . This flexibility comes with the challenge of needing to choose parameters for these models