PhD Studentship: Viral Diseases: Applications are invited for a fully funded 4-year PhD studentship at University College London (UCL), starting in October 2024. This project, funded by NC3Rs, focuses on developing a digital twin of 3D microvascular organoid systems to study haemorrhagic viral diseases like dengue fever. The project is a collaboration between Dr. Carina Dunlop, who is moving to UCL, and Dr. Paola Campagnolo from the School of Biosciences at the University of Surrey.
Fully Funded PhD Studentship: Developing a Digital Twin of 3D Vascular Systems to Study Haemorrhagic Viral Diseases
Summary Table
| Designation | PhD Studentship |
|---|---|
| Research Area | Computational models of organoids for haemorrhagic viral diseases |
| Location | Department of Mathematics, UCL |
| Eligibility/Qualification | Degree in Mathematics, Physics, Computer Science, or related fields |
| Job Description | Computational simulations, mathematical modeling, wet-lab techniques |
| How to Apply | Contact Dr. Carina Dunlop at c.dunlop@surrey.ac.uk |
| Last Date to Apply | Not specified |
Designation
PhD Studentship
Research Area
Computational models of organoids for the study of haemorrhagic viral diseases such as dengue fever.
Location
Department of Mathematics, University College London (UCL).
Eligibility/Qualification
Candidates should have a degree in Mathematics, Physics, Computer Science, or a related field in the physical sciences or bioengineering. A willingness to engage with biological detail is essential.
Job Description
The successful candidate will develop a digital twin of an experimental 3D microvascular organoid culture system. This involves using individual-based computational simulations to investigate the role of mechanical interactions between cells in haemorrhagic diseases. The project includes:
- Creating an accurate, user-friendly biological mimic optimized for co-culture microvascular organoids.
- Utilizing the digital twin and experimental organoid system to investigate new treatments without animal models.
- Learning and performing wet-lab techniques in the Campagnolo lab to collect data for simulations.
How to Apply
Interested applicants should contact Dr. Carina Dunlop at c.dunlop@surrey.ac.uk.
Last Date to Apply
Until position filled
