2 machine-learning scholarships at University of Sheffield

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

, machine learning, advanced finite element analysis; Desirable: computer modelling, solid mechanics, experience with Ansys or equivalent software, a final year project on a machine learning/biomechanics

Fully Funded 3.5 year PhD Studentship - Modelling and Control of Turbulent Flows

. The problem will be tackled using advanced mathematical tools combined with state-of-the-art numerical simulations and modern data-driven/machine-learning techniques. Different relaminarisation (i.e