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Prof T Krueger

Top university

1 year ago

Using computer simulations to model the separation of circulating tumour cells from blood cells as an early diagnostic tool for cancer University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Biomarker Research

Funding

Fully Funded

Deadline

Expired

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Country

United Kingdom

University

University of Edinburgh

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Where to contact

Official Email

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Keywords

Biomarker Research
Systems Engineering
Biomedical Engineering
Cancer Biology
Mechanical Engineering
Fluid Dynamics
Experimental Physics
Biophysics
Travel Medicine
Fluid Mechanics
Computational Physics
Python Programming
Gas Separation
Device Engineering
Fluid-structure Interaction
Mathematical Biology
Soft Matter Physics
Mechanical Properties
Agricultural And Biological Sciences
Mathematical Modelling
Device Optimization
Code Development
Diagnostic Tool
Interdisciplinary Research
Interdisciplinary Studies
International Scientific Conferences
Computer Simulation
Numerical Modelling
Experimentalists
Inertial Microfluidics
Circulating Tumour Cells
Geometric Properties
Blood Cells
Chicago
Translational Application
Medical Environments

About this position

Background:Circulating tumour cells are a known biomarker of cancer and can be found in the blood from Stage 1 onwards. Successful identification of circulating tumour cells can be used to facilitate early diagnosis of cancer and therefore improve survival rates. However, circulating tumour cells are very rare (~10 cells per ml blood) and therefore identifying these cells is difficult. Inertial microfluidic devices have shown promise in separating circulating tumour cells from blood. However, we do not fully understand the physics involved, limiting its application in clinical practice. As such, there is significant scope for device optimization. Furthermore, the mechanical and geometric properties of circulating tumour cells vary by cancer type meaning a range of device designs are required.Project:This PhD project will use numerical modelling (in-house fluid-structure interaction code), in collaboration with experimentalists at University of Illinois, Chicago (Prof Papautsky and Dr Zhou) to further our understanding of the physics involved in cell separation through inertial microfluidic devices. Two key outputs from this PhD project are:Code development to add capabilities – circulating tumour cell model and multi-phase -flows-     Uncover how mechanical and geometric properties of cells affect separation performance.Depending on the interests of the applicant, the project could be mainly focused on code and model development, translational application, or a combination of the two.Ideal candidates will have a good degree in Engineering, Physics, Mathematics, Computer Science or any related subject. They will be interested in code development (some experience with C++ and python desirable), fluid dynamics and interdisciplinary research, in particular translating engineering to medical environments.There will be opportunities for travel to visit experimental collaborators as well as attending relevant national and international conferences. The student will also benefit from a vibrant community of PhD students, postdoctoral research associates and academics working in various aspects of soft matter and biophysics in Edinburgh.To Apply: Using computer simulations to model the separation of circulating tumour cells from blood cells as an early diagnostic tool for cancer | School of Engineering (ed.ac.uk)Please note that this advert will close as soon as a suitable candidate is found.

Funding details

Fully Funded

How to apply

? To apply, visit the School of Engineering website at the University of Edinburgh.

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