4 Education positions at University of Sheffield in US

SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications

of modelling, biomechanics & deep learning. The project is in collaboration with multiple NHS Trusts including the Sheffield Teaching Hospitals and Sheffield Children’s Hospital. The successful candidate will

Study of Direct Air Capture and CO2 Utilisation Driven by Renewable Energy through Modelling and Simulation

, wind ) for DAC to be truly NET. This project aims to develop an energy-efficient and economically viable renewable energy-driven DAC and CO2 utilisation. Please see this link for information on how

Function Brain imaging in disease: what are the activation maps really telling us?

difficult to distinguish between these two possibilities. This will substantially impair our future ability to apply functional brain imaging to investigate human brain disease and dysfunction and develop new

Enabling Net Zero Emissions Targets through Post Combustion Capture (PCC) of CO2 Using Amine-based Emerging Technology

will be based in the Energy Engineering Group within the Department of Mechanical Engineering, which is a part of the Energy 2050 initiative within the University of Sheffield to develop world-leading