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Ali Sarrami Foroushani

Top university

11 months ago

Fully Funded PhD Positions in Computational Imaging, Modelling, and Biomedical Engineering at the University of Manchester University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

These are fully funded PhD positions under the University of Manchester Bicentenary PhD Studentships, covering tuition fees and providing a stipend. Specific stipend amount and further financial details are not mentioned.

Deadline

Expired

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Health Science
Fluid Mechanics
Implantable Devices
In Silico Modeling
Computational Imaging
Biomechanic
Computational Modelling

About this position

The Centre for Computational Imaging and Modelling in Medicine at the University of Manchester is offering two fully funded PhD positions as part of the Bicentenary PhD Studentships. The projects are supervised by Dr. Ali Sarrami Foroushani and Prof Alejandro Frangi. Project 1 focuses on computational modelling and simulation of device-induced thrombosis, advancing in-silico trials of cardiovascular medical devices.

Project 2 centers on in-silico trials of neurovascular devices, particularly intra-saccular devices for treating brain aneurysms. The research group is seeking candidates with strong backgrounds in computational modelling, biomedical engineering, biomechanics, or related fields. Experience with computational fluid dynamics, in-silico trials, or medical device simulation is highly desirable. The studentships are fully funded, covering tuition and providing a stipend.

Interested applicants should apply via the provided project links or contact Dr. Ali Sarrami Foroushani for more information.

Funding details

These are fully funded PhD positions under the University of Manchester Bicentenary PhD Studentships, covering tuition fees and providing a stipend. Specific stipend amount and further financial details are not mentioned.

What's required

Applicants should have a strong background in computational modelling, biomedical engineering, biomechanics, or a related field. Experience with computational fluid dynamics, in-silico trials, or medical device simulation is highly desirable. A relevant undergraduate or master's degree is required. Additional skills in programming and data analysis are advantageous.

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Professors

Dr.

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Computer Science

Biomechanic

Implantable Devices

Computational Modelling

Prof

University Name
Country flag

United Kingdom

Research Interests

Medical Imaging

Radiology

Deep Learning

Biomechanic

Magnetic Resonance Imaging