11 Mathematics positions at University of Sheffield in us

Mathematical Modelling of Neurovascular function: Developing and refining brain tissue models to enable world leading research into neurovascular coupling in health and disease

Mathematical Modelling of Neurovascular function: Developing and refining brain tissue models to enable world leading research into neurovascular coupling in health and disease Department

Use of surface textures to improve tactile perception

diminished, e.g. though ageing or a physical interface such as a sock or glove. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant

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

Engineering, Bioengineering, General Engineering, Applied Mathematics or Physics (at least a UK 2:1 honours degree, or its international equivalent). Knowledge, skills Strong programming skills in Python

Using Multivariate Statistical Surrogate Models of Displacement Cascades To Simulate High-dose Irradiation Damage

language like Python, which you can learn as part of the project. There won’t be any hard-core software development. The project would particularly suit you if you enjoyed the mathematical elements of your

Study of turbulence in fusion technology using high fidelity simulations

candidates are expected to hold a first class or upper second-class degree in engineering, physics or applied mathematics. Interests in CFD, computer programming and fusion technology are desirable but pre

Control of multi-agent systems using continuum mechanics modelling

@sheffield.ac.uk. Candidate Requirements Strong mathematical background (in calculus, linear algebra, ODEs, and functional analysis) and familiarity with PDEs are essential. Experience in control theory is desirable

Functional lung image synthesis using machine/deep learning: development, validation and application

include: • BSc in Computer Science, Engineering, Physics, or Mathematics. • Strong programming skills in Python, MATLAB, R, or Java/C++. • Prior experience in image analysis and/or machine learning is

Using Brain Computer Interface to Improve Cognitive Performance

degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience, cognitive science, computer science or subjects where signal processing may be applied are encouraged to apply. If you

Analysis of post-combustion CO2 capture from natural gas power plants using CFD and process co-simulation

, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self funded students. View DetailsEmail EnquiryApply Online

Improvement of the efficiency of PEM fuel cells through the use of appropriate sealing means

stiffness of both the electrode and sealing gasket. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is