Publisher
source

Dr W Wang

1 year ago

Simulation of tissue regeneration processes by lattice Boltzmann method University of Surrey in United Kingdom

Degree Level

PhD

Field of study

Cell Biology

Funding

Fully Funded

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Surrey

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Where to contact

Official Email

Keywords

Cell Biology
Inflammation
Biochemistry
Biomedical Engineering
Experimental Physics
Biophysics
Computational Biology
Regenerative Medicine
Tissue Engineering
Wound Healing
Resource Management
Cell Migration
Diagnostic Accuracy
Resource Optimization
Mathematical Biology
Tissue Biomechanics
Pathogen Interactions
Host-pathogen Interaction
Cell Proliferation
Tissue Regeneration
Lattice Boltzmann
Bioinformatics
Bone Matrix-mimetic Biomaterials
Sustainable Interventions
Bioinformatics/systems Biology
Numerical Modelling
Tissue Microenvironment
Tissue Remodelling
Computational Tools
Versatility

About this position

Summary:Wound healing is a fundamental biological process essential for the maintenance of tissue integrity and overall health. However, the mechanisms underlying wound healing remain complex and multifaceted. This multidisciplinary PhD project uniquely combines principles from biology and mathematics to create advanced numerical models that illuminate the intricate dynamics of wound healing. This PhD project seeks to bridge the gap between biology and mathematics by developing advanced numerical models that simulate the intricate dynamics of wound healing.Objectives:1.    Modelling the healing process: Gain insights into the dynamic processes of inflammation, cell migration, proliferation, and tissue remodelling during wound healing.2.    Predictive simulations: Develop predictive models that can anticipate the healing trajectory under various conditions, helping us better understand how different factors influence the process.3.    Optimization and intervention: Use computational tools to explore strategies for optimizing wound healing and potential interventions to accelerate and enhance the process.Methods:We will use the lattice Boltzmann method to simulate reaction-diffusion processes within biological tissues during the wound healing journey. Our focus will be on understanding how cells behave within the tissue microenvironment. The lattice Boltzmann method, known for its exceptional accuracy and versatility, will be harnessed to create precise numerical models that shed light on the intricacies of interactions during tissue regeneration. This innovative approach will enable us to gain deeper insights into wound healing, offering potential avenues for optimizing and expediting the healing process.The proposed start date is January 2024.EligibilityApplicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline.FundingAt Manchester we offer a range of scholarships, studentships and awards at university, faculty and department level, to support both UK and overseas postgraduate researchers.For more information, visit our funding page or search our funding database for specific scholarships, studentships and awards you may be eligible for.Before you applyWe strongly recommend that you contact the supervisor(s) for this project before you apply.How to applyTo be considered for this project you’ll need to complete a formal application through our online application portal.When applying, you’ll need to specify the full name of this project, the name of your supervisor, how you’re planning on funding your research, details of your previous study, and names and contact details of two referees.Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.If you have any questions about making an application, please contact our admissions team by emailing [email protected], diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).

Funding details

Fully Funded

How to apply

? Contact the supervisor(s) and complete a formal application through the online portal.

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